Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision | Paper Citation Record

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Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Unresolved cited work

Reference 1

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This paper cites Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer: A multicenter study.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer: A multicenter study

Reference 2

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This paper cites Abstract p2-12-11: Multi-omics fusion for prediction of response to neoadjuvant therapy in breast cancer with external validation.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Abstract p2-12-11: Multi-omics fusion for prediction of response to neoadjuvant therapy in breast cancer with external validation

Reference 3

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This paper cites Predicting lymph node metastasis from primary cervical squamous cell carcinoma based on deep learning in histopathologic images.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Predicting lymph node metastasis from primary cervical squamous cell carcinoma based on deep learning in histopathologic images

Reference 4

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Observation e8225667-1fde-4543-aa8b-f357864f1f2b · outbound

This paper cites Pathology-knowledge enhanced multi-instance prompt learning for few-shot whole slide image classification.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Pathology-knowledge enhanced multi-instance prompt learning for few-shot whole slide image classification

Reference 5

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Observation 7b2b7c9a-1170-430d-93e8-108e9d89df8a · outbound

This paper cites Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey

Reference 6

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Observation 64df4a64-f5e0-4bd5-a6e7-8b08e79166ab · outbound

This paper cites Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Reference 7

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Observation c42813b2-71cb-41d0-9153-c613b78ee749 · outbound

This paper cites Pathomic fusion: an integrated framework for fusing histopathology and genomic features for cancer diagnosis and prognosis.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Pathomic fusion: an integrated framework for fusing histopathology and genomic features for cancer diagnosis and prognosis

Reference 8

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Observation bbfe60c1-6efa-4848-90ef-b05785ffb9dd · outbound

This paper cites Data-efficient and weakly supervised computational pathology on whole-slide images.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Data-efficient and weakly supervised computational pathology on whole-slide images

Reference 10

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Observation c90c9263-50c9-4924-a07c-bf8000879194 · outbound

This paper cites The rise of ai language pathologists: Exploring two-level prompt learning for few-shot weakly-supervised whole slide image classification.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision The rise of ai language pathologists: Exploring two-level prompt learning for few-shot weakly-supervised whole slide image classification

Reference 11

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Observation b18cae05-1f69-404e-bbbc-844bb996d527 · outbound

This paper cites Dgmil: Distribution guided multiple instance learning for whole slide image classification.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Dgmil: Distribution guided multiple instance learning for whole slide image classification

Reference 12

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Observation 28c2717b-840b-49c5-992d-2278dfb5fd7c · outbound

This paper cites Deep multi-instance learning with dynamic pooling.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Deep multi-instance learning with dynamic pooling

Reference 13

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Observation 1fe59ced-7bbf-4c97-98c1-5c838deab971 · outbound

This paper cites Deep neural network models for computational histopathol- ogy: A survey.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Deep neural network models for computational histopathol- ogy: A survey

Reference 14

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Observation 90db9821-dae8-46d4-bdce-d67aef413b99 · outbound

This paper cites Weakly-supervised learning for lung carcinoma classification using deep learning.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Weakly-supervised learning for lung carcinoma classification using deep learning

Reference 15

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Observation 92174bdc-a66f-4888-9669-8285a6a2ae35 · outbound

This paper cites Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks

Reference 16

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Observation 876a83dd-f342-45ee-9de9-587c960dccc5 · outbound

This paper cites Uncertainty-aware Self-training for Text Classification with Few Labels.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Uncertainty-aware Self-training for Text Classification with Few Labels

Reference 17

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Observation 6feac20f-12fa-43ba-b0d7-b39fa69c29e5 · outbound

This paper cites Self-training with noisy student improves imagenet classification.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Self-training with noisy student improves imagenet classification

Reference 18

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Observation 62685c95-38af-4b85-8c32-298529e46651 · outbound

This paper cites S4l: Self-supervised semi-supervised learning.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision S4l: Self-supervised semi-supervised learning

Reference 19

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Observation cc7907f0-a903-4216-824a-f27bcc19aed5 · outbound

This paper cites Unsupervised data augmentation for consistency training.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Unsupervised data augmentation for consistency training

Reference 20

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Observation b2fc22c8-d82b-48b7-ab05-fa3e3d75ec70 · outbound

This paper cites Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Reference 21

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Observation e158b075-ee9c-42e0-8ecd-bbd90eff563b · outbound

This paper cites Temporal Ensembling for Semi-Supervised Learning.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Temporal Ensembling for Semi-Supervised Learning

Reference 22

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This paper cites Semi-Supervised Learning with Ladder Networks.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Semi-Supervised Learning with Ladder Networks

Reference 23

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This paper cites Virtual adversarial training: A regularization method for supervised and semi-supervised learning.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Virtual adversarial training: A regularization method for supervised and semi-supervised learning

Reference 24

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This paper cites Averaging weights leads to wider optima and better generalization.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Averaging weights leads to wider optima and better generalization

Reference 25

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Observation e41260f7-ad8c-4576-8e9b-9d2af3a5458a · outbound

This paper cites Towards multimodal sentiment analysis debiasing via bias purification.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Towards multimodal sentiment analysis debiasing via bias purification

Reference 26

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This paper cites Towards context-aware emotion recognition debiasing from a causal demystification perspective via de-confounded training.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Towards context-aware emotion recognition debiasing from a causal demystification perspective via de-confounded training

Reference 27

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Observation 1d7d1678-5ebc-468a-9444-876e3413edfc · outbound

This paper cites Asynchronous multimodal video sequence fusion via learning modality-exclusive and-agnostic representations.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Asynchronous multimodal video sequence fusion via learning modality-exclusive and-agnostic representations

Reference 28

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Observation 4d3bdda2-4a0f-4215-9558-3909542c2fb0 · outbound

This paper cites Loss-based attention for deep multiple instance learning.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Loss-based attention for deep multiple instance learning

Reference 29

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This paper cites Bi-directional weakly supervised knowledge distillation for whole slide image classification.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Bi-directional weakly supervised knowledge distillation for whole slide image classification

Reference 30

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Observation c7c5bb3b-8142-4cfb-bcb7-436e400f5b09 · outbound

This paper cites Accounting for dependencies in deep learning based multiple instance learning for whole slide imaging.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Accounting for dependencies in deep learning based multiple instance learning for whole slide imaging

Reference 31

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Observation b1cc2fb2-6000-4234-846d-f6425c0c0879 · outbound

This paper cites Clinical-grade computational pathology using weakly supervised deep learning on whole slide images.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

Reference 32

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Observation 9aed7aaf-3252-454e-83ee-f971a8bea65f · outbound

This paper cites Multiple instance learning with center embeddings for histopathology classification.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Multiple instance learning with center embeddings for histopathology classification

Reference 33

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This paper cites Camel: A weakly supervised learning framework for histopathology image segmentation.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Camel: A weakly supervised learning framework for histopathology image segmentation

Reference 34

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This paper cites Interventional multi-instance learning with deconfounded instance-level prediction.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Interventional multi-instance learning with deconfounded instance-level prediction

Reference 35

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This paper cites Rethinking multiple instance learning for whole slide image classification: A good instance classifier is all you need.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Rethinking multiple instance learning for whole slide image classification: A good instance classifier is all you need

Reference 36

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Observation d38eacd5-9aed-4587-b898-d5bbf1b5189e · outbound

This paper cites Attention-based deep multiple instance learning.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Attention-based deep multiple instance learning

Reference 37

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Observation 072bc2e1-5752-409a-8153-dc8d91e58ccf · outbound

This paper cites Multi-scale domain-adversarial multiple-instance cnn for cancer subtype classification with unannotated histopathological images.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Multi-scale domain-adversarial multiple-instance cnn for cancer subtype classification with unannotated histopathological images

Reference 38

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Observation c5cc5b41-6a69-4878-a359-35f6d9ac26ea · outbound

This paper cites Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks

Reference 39

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Observation bc3ae713-37ea-4cdc-8e28-1f6dbc8ff789 · outbound

This paper cites Dual-stream multiple instance learning network for whole slide image classification with self-supervised contrastive learning.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Dual-stream multiple instance learning network for whole slide image classification with self-supervised contrastive learning

Reference 40

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Observation 01420259-6295-4830-8da8-b733167f599b · outbound

This paper cites Dtfd-mil: Double- tier feature distillation multiple instance learning for histopathology whole slide image classification.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Dtfd-mil: Double- tier feature distillation multiple instance learning for histopathology whole slide image classification

Reference 41

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Observation 575d9a75-02ae-4c4b-8d8b-f50206dd98b4 · outbound

This paper cites Transmil: Transformer based correlated multiple instance learning for whole slide image classification.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Transmil: Transformer based correlated multiple instance learning for whole slide image classification

Reference 42

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Observation 142828df-d993-4b9b-b893-436901fa1eba · outbound

This paper cites Multimodal co-attention transformer for survival prediction in gigapixel whole slide images.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Multimodal co-attention transformer for survival prediction in gigapixel whole slide images

Reference 43

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Observation 48d74ab8-8e0f-4210-bd3d-0a2dab8ffd81 · outbound

This paper cites Scl-wc: Cross-slide contrastive learning for weakly-supervised whole-slide image classification.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Scl-wc: Cross-slide contrastive learning for weakly-supervised whole-slide image classification

Reference 44

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Observation eff5a5f9-2137-4399-9538-5a831eb57741 · outbound

This paper cites Cluster-to-conquer: A framework for end-to-end multi-instance learning for whole slide image classification.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Cluster-to-conquer: A framework for end-to-end multi-instance learning for whole slide image classification

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:23.668310Z

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Observation be4662bc-d2b7-42f2-ba0f-7326af55807e · outbound

This paper cites Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images

Reference 46

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Observation 70b544cf-0a3d-4241-af23-4ddd30920ab7 · outbound

This paper cites Dual-curriculum contrastive multi-instance learning for cancer prognosis analysis with whole slide images.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Dual-curriculum contrastive multi-instance learning for cancer prognosis analysis with whole slide images

Reference 47

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Observation 88a0e0cf-1743-4e8e-9160-00d04a711e44 · outbound

This paper cites Boosting whole slide image classification from the perspectives of distribution, correlation and magnification.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Boosting whole slide image classification from the perspectives of distribution, correlation and magnification

Reference 48

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Observation 5b635010-d109-4ab1-ad08-867f5117a953 · outbound

This paper cites Wsisa: Making survival prediction from whole slide histopathological images.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Wsisa: Making survival prediction from whole slide histopathological images

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:23.617213Z

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Observation 724b9182-da01-4d12-a95d-e17c6afb0524 · outbound

This paper cites A survey on deep semi-supervised learning.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision A survey on deep semi-supervised learning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:23.598807Z

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Observation b7e4480f-d902-4a99-a143-87542ccfa09d · outbound

This paper cites Semi-supervised classification by low density separation.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Semi-supervised classification by low density separation

Reference 51

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Observation 01752255-d497-448e-87fa-1f0215f94343 · outbound

This paper cites Fixmatch: Simplifying semi-supervised learning with consistency and confidence.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Fixmatch: Simplifying semi-supervised learning with consistency and confidence

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:23.566322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 861421a9-22e2-4a7a-a753-b54b93e76002 · outbound

This paper cites Simmatch: Semi-supervised learning with similarity matching.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Simmatch: Semi-supervised learning with similarity matching

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:23.548646Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4deda3aa-ec16-4b95-9e60-ec57853c7717 · outbound

This paper cites Class-aware contrastive semi-supervised learning.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Class-aware contrastive semi-supervised learning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:23.533329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d244c913-027f-470b-a1c6-b379fb885e96 · outbound

This paper cites Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:23.516084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aa08b16d-1735-4842-9d09-844812d1255d · outbound

This paper cites FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Reference 56

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Source-reported events for the cited work

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Observation 3356102d-bf09-4bbc-bbdf-b56ad19ca949 · outbound

This paper cites SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:23.139316Z

Source-reported events for the cited work

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Observation 04be6cac-f8b5-46db-9cbe-2234cc5fe636 · outbound

This paper cites Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:23.497133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1ea0f50c-0601-48e0-8845-97421dadfe9c · outbound

This paper cites Efficient cancer classification by coupling semi supervised and multiple instance learning.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Efficient cancer classification by coupling semi supervised and multiple instance learning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:23.478839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1d12a86d-654f-4b7e-8f9c-bd268a356c83 · outbound

This paper cites Self-supervised driven consistency training for annotation efficient histopathology image analysis.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Self-supervised driven consistency training for annotation efficient histopathology image analysis

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:23.460168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 216efece-464e-4f7c-8eb7-7e6daf9c8a78 · outbound

This paper cites Clustering analysis for semi-supervised learning improves classification performance of digital pathology.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Clustering analysis for semi-supervised learning improves classification performance of digital pathology

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:23.442150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7d3db0f2-2ed0-4cb2-8bf5-05da80bcef35 · outbound

This paper cites Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:40:23.349911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cc6c79e7-ee8c-41b4-85cf-9be153430aac · outbound

This paper cites Learning multiple layers of features from tiny images.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Learning multiple layers of features from tiny images

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:23.423222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation db813ed5-4432-4c14-8105-298a691013a4 · outbound

This paper cites Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:23.403800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a9b9f938-b03a-441c-90ed-1e0b0c37734b · outbound

This paper cites Deep learning for prediction of colorectal cancer outcome: a discovery and validation study.

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision Deep learning for prediction of colorectal cancer outcome: a discovery and validation study

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:23.384801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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