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Paper Citation Record · LEDGER

Efficient Whole Slide Image Classification through Fisher Vector Representation

As of 22 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2411.08530.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.08530 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:35:09.781131Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

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External citation measurements

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Outbound references

Observation 9517045d-c6bf-4f14-ace4-48b4e86ade93 · outbound

This paper cites Deep fisher vector coding for whole slide image classification.

Efficient Whole Slide Image Classification through Fisher Vector Representation Deep fisher vector coding for whole slide image classification

Reference 1

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Observation 91f7aaf1-a95f-4327-887e-3258bb932567 · outbound

This paper cites Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning.

Efficient Whole Slide Image Classification through Fisher Vector Representation Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

Reference 2

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Observation 6f3b733f-2a49-4a1f-9019-42a4926513a3 · outbound

This paper cites Egfr mutation prediction of lung biopsy images using deep learning.

Efficient Whole Slide Image Classification through Fisher Vector Representation Egfr mutation prediction of lung biopsy images using deep learning

Reference 3

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Observation 04d6105c-5a43-4d3c-a2a5-0e6ddb518f4f · outbound

This paper cites From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge.

Efficient Whole Slide Image Classification through Fisher Vector Representation From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge

Reference 4

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Observation 0741606c-931b-43f2-8548-1a0113b795a4 · outbound

This paper cites Deep learning for whole slide image analysis: an overview.

Efficient Whole Slide Image Classification through Fisher Vector Representation Deep learning for whole slide image analysis: an overview

Reference 5

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Observation 1d42bce7-f5f8-45c8-8360-e422fb7de17f · outbound

This paper cites Artificial intelligence in digital breast pathology: techniques and applications.

Efficient Whole Slide Image Classification through Fisher Vector Representation Artificial intelligence in digital breast pathology: techniques and applications

Reference 6

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Observation 44d5527e-a5b5-40dc-969c-e8440ea65dc8 · outbound

This paper cites Patch-based convolutional neural network for whole slide tissue image classification.

Efficient Whole Slide Image Classification through Fisher Vector Representation Patch-based convolutional neural network for whole slide tissue image classification

Reference 7

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Observation 63edec90-9329-4f7f-a7e9-dcf0ec747855 · outbound

This paper cites Monte-carlo sampling applied to multiple instance learning for histological image classification.

Efficient Whole Slide Image Classification through Fisher Vector Representation Monte-carlo sampling applied to multiple instance learning for histological image classification

Reference 8

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Observation 1e80d1cf-46b8-4d91-9a78-5b7a77b11d37 · outbound

This paper cites DA-RefineNet:A Dual Input Whole Slide Image Segmentation Algorithm Based on Attention.

Efficient Whole Slide Image Classification through Fisher Vector Representation DA-RefineNet:A Dual Input Whole Slide Image Segmentation Algorithm Based on Attention

Reference 9

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Observation b71282a6-9c0d-4a2b-bc1e-7e82eb04cf0b · outbound

This paper cites Rectified cross-entropy and upper transition loss for weakly supervised whole slide image classifier.

Efficient Whole Slide Image Classification through Fisher Vector Representation Rectified cross-entropy and upper transition loss for weakly supervised whole slide image classifier

Reference 10

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Observation d68ced20-39a8-48d3-8e9a-69fef2d06df4 · outbound

This paper cites Learning deep features for discriminative localization.

Efficient Whole Slide Image Classification through Fisher Vector Representation Learning deep features for discriminative localization

Reference 11

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Observation 30d2b614-ac7a-48cd-812d-d11240282709 · outbound

This paper cites Weldon: Weakly supervised learning of deep convolutional neural networks.

Efficient Whole Slide Image Classification through Fisher Vector Representation Weldon: Weakly supervised learning of deep convolutional neural networks

Reference 12

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Observation 18acbed2-1af5-4a8f-8a20-0252ef1ae0e6 · outbound

This paper cites Wildcat: Weakly supervised learning of deep convnets for image classification, pointwise localization and segmentation.

Efficient Whole Slide Image Classification through Fisher Vector Representation Wildcat: Weakly supervised learning of deep convnets for image classification, pointwise localization and segmentation

Reference 13

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Observation fca2efe4-581c-4e53-a04a-abc4df947dc2 · outbound

This paper cites Multiple instance learning for heterogeneous images: Training a cnn for histopathology.

Efficient Whole Slide Image Classification through Fisher Vector Representation Multiple instance learning for heterogeneous images: Training a cnn for histopathology

Reference 14

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Observation 11220d31-25c4-48a0-aa24-c8d36aa00439 · outbound

This paper cites Convolutional networks with dense connectivity.

Efficient Whole Slide Image Classification through Fisher Vector Representation Convolutional networks with dense connectivity

Reference 15

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Observation 9c4d9e7b-7c60-457e-95cb-bd44b8b10523 · outbound

This paper cites Attention-challenging multiple instance learning for whole slide image classification, 2024.

Efficient Whole Slide Image Classification through Fisher Vector Representation Attention-challenging multiple instance learning for whole slide image classification, 2024

Reference 16

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 563ebd30-52dc-440a-ac12-026689d95901 · outbound

This paper cites Prompt-guided adaptive model transformation for whole slide image classification, 2024.

Efficient Whole Slide Image Classification through Fisher Vector Representation Prompt-guided adaptive model transformation for whole slide image classification, 2024

Reference 17

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Observation c46f6a79-a290-4afc-8aa6-34aa731160ba · outbound

This paper cites Pathology-knowledge enhanced multi-instance prompt learning for few-shot whole slide image classification, 2024.

Efficient Whole Slide Image Classification through Fisher Vector Representation Pathology-knowledge enhanced multi-instance prompt learning for few-shot whole slide image classification, 2024

Reference 18

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Observation 7997b9c7-4097-44ae-895a-40f1f5e86ec5 · outbound

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

Efficient Whole Slide Image Classification through Fisher Vector Representation Data- efficient and weakly supervised computational pathology on whole-slide images

Reference 19

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Observation ff8a66b6-bf1b-4347-a84a-b49beccaa475 · outbound

This paper cites Improving the fisher kernel for large-scale image classification.

Efficient Whole Slide Image Classification through Fisher Vector Representation Improving the fisher kernel for large-scale image classification

Reference 20

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Observation 7a5c45dc-627f-4eab-ab57-c7a05ef41ee1 · outbound

This paper cites Efficient quality control of whole slide pathology images with human-in-the-loop training.

Efficient Whole Slide Image Classification through Fisher Vector Representation Efficient quality control of whole slide pathology images with human-in-the-loop training

Reference 21

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Observation 1a632061-9a87-4b14-bc88-acd352a2a25b · outbound

This paper cites https://github.com/DigitalSlideArchive/HistomicsTK.

Efficient Whole Slide Image Classification through Fisher Vector Representation https://github.com/DigitalSlideArchive/HistomicsTK

Reference 22

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Observation e97be5ac-f9f4-4961-ad21-acc799f47917 · outbound

This paper cites Enhanced bag of visual words representations for content based image retrieval: a comparative study.

Efficient Whole Slide Image Classification through Fisher Vector Representation Enhanced bag of visual words representations for content based image retrieval: a comparative study

Reference 23

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Source-reported events for the cited work

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Observation 4ee8c0f4-1ced-4a1f-a056-d52d11d4a45e · outbound

This paper cites Understanding the Fisher Vector: a multimodal part model.

Efficient Whole Slide Image Classification through Fisher Vector Representation Understanding the Fisher Vector: a multimodal part model

Reference 24

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Observation b0c5ec44-2691-44b6-9708-8a330f6cd8db · outbound

This paper cites Deep residual learning for image recognition.

Efficient Whole Slide Image Classification through Fisher Vector Representation Deep residual learning for image recognition

Reference 25

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Observation 42f5e008-a743-4e64-9e4f-34fdd2a9e8e3 · outbound

This paper cites Searching for mobilenetv3.

Efficient Whole Slide Image Classification through Fisher Vector Representation Searching for mobilenetv3

Reference 26

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Observation 7c63b7b8-6ec1-4987-9483-e575b0528318 · outbound

This paper cites Imagenet large scale visual recognition challenge.International journal of computer vision, 115:211–252, 2015.

Efficient Whole Slide Image Classification through Fisher Vector Representation Imagenet large scale visual recognition challenge.International journal of computer vision, 115:211–252, 2015

Reference 27

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Observation 6b08714b-08b5-4351-a2f1-9d1365d0a591 · outbound

This paper cites 1399 h&e-stained sentinel lymph node sections of breast cancer patients: the camelyon dataset.

Efficient Whole Slide Image Classification through Fisher Vector Representation 1399 h&e-stained sentinel lymph node sections of breast cancer patients: the camelyon dataset

Reference 28

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Source-reported events for the cited work

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Pith citing papers

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