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Paper Citation Record · LEDGER

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images

As of 7 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:1907.09478.

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

pith.paper-citation-record.v1
1907.09478 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T17:46:38.201236Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

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  • verified fuzzy34
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c019be05-ede5-4adb-9875-44a213c4f3c4 · outbound

This paper cites Whole slide imaging in pathology: advantages, limitations, and emerging perspectives.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Whole slide imaging in pathology: advantages, limitations, and emerging perspectives

Reference 1

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Observation bd6987b3-72db-46c0-8c5c-06366bdf33b4 · outbound

This paper cites Nuclei detection using mixture density networks.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Nuclei detection using mixture density networks

Reference 2

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Observation 1c42fd87-f2ed-4fcc-b067-1898e59e1fe4 · outbound

This paper cites Locality sensitive deep learning for detection and classification of nuclei in routine colon cancer histology images.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Locality sensitive deep learning for detection and classification of nuclei in routine colon cancer histology images

Reference 3

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Observation 9f726f56-b564-4354-8d45-b6325cffc17a · outbound

This paper cites Simultaneous cell detection and classification in bone marrow histology images.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Simultaneous cell detection and classification in bone marrow histology images

Reference 4

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Observation ab50c4ba-2bc2-4075-a440-89e772d56770 · outbound

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

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer

Reference 5

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Observation 198d0287-1e08-49a0-b142-33beb07ae9bf · outbound

This paper cites Significance of hyperparameter optimization for metastasis detection in breast histology images.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Significance of hyperparameter optimization for metastasis detection in breast histology images

Reference 6

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Observation 37c99adf-9abd-4472-a0c1-8b229aa0226b · outbound

This paper cites Fast scannet: Fast and dense analysis of multi-gigapixel whole-slide images for cancer metastasis detection.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Fast scannet: Fast and dense analysis of multi-gigapixel whole-slide images for cancer metastasis detection

Reference 7

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Observation 020540bf-7b1d-4f7c-83e3-35fa8d4776ac · outbound

This paper cites Persistent homology for fast tumor segmentation in whole slide histology images.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Persistent homology for fast tumor segmentation in whole slide histology images

Reference 8

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Observation 54f27629-795f-49b6-82bf-cedcbe1229d0 · outbound

This paper cites Automated gleason grading of prostate cancer tissue microarrays via deep learning.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Automated gleason grading of prostate cancer tissue microarrays via deep learning

Reference 9

Resolution
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Observation 7b16795f-e13c-47a0-9bee-420e61f165dc · outbound

This paper cites Semantic segmentation for prostate cancer grading by convolutional neural networks.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Semantic segmentation for prostate cancer grading by convolutional neural networks

Reference 10

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Observation 3f34ae13-6c41-4f5d-a828-fc353491e08d · outbound

This paper cites Glandular morpho- metrics for objective grading of colorectal adenocarcinoma histology images.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Glandular morpho- metrics for objective grading of colorectal adenocarcinoma histology images

Reference 11

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Observation c31435c2-8e26-47ca-9277-dc7b0bfc3473 · outbound

This paper cites World cancer report 2014.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images World cancer report 2014

Reference 12

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Observation d964114b-3955-4183-8dee-9cfba3e058a1 · outbound

This paper cites Histopathology reporting in large bowel cancer.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Histopathology reporting in large bowel cancer

Reference 13

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Source-reported events for the cited work

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Observation 600007a7-6867-4c5c-a8f5-9517c9d96772 · outbound

This paper cites The grading of rectal cancer: historical perspectives and a multivariate analysis of 447 cases.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images The grading of rectal cancer: historical perspectives and a multivariate analysis of 447 cases

Reference 14

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Observation b29e433c-b39a-4e82-91da-0c28c5c400da · outbound

This paper cites Classification of breast cancer histology image using ensemble of pre-trained neural networks.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Classification of breast cancer histology image using ensemble of pre-trained neural networks

Reference 15

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Observation f72d4680-62eb-471e-9c05-1fe94789f7b3 · outbound

This paper cites Assess- ment of breast cancer histology using densely connected convolutional networks.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Assess- ment of breast cancer histology using densely connected convolutional networks

Reference 16

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Observation dcd0a3c9-9a13-496b-8585-2e766c9f67c7 · outbound

This paper cites Hierarchical resnext models for breast can- cer histology image classification.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Hierarchical resnext models for breast can- cer histology image classification

Reference 17

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Observation 7de51673-c41d-4f10-9ad5-78521d576db6 · outbound

This paper cites Weakly supervised learning for whole slide lung cancer image classification.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Weakly supervised learning for whole slide lung cancer image classification

Reference 18

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Observation 4e2ce3b5-9f98-41e0-b8f7-267234ca093e · outbound

This paper cites High- throughput adaptive sampling for whole-slide histopathology image analysis (hashi) via convolutional neural networks: Application to in- vasive breast cancer detection.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images High- throughput adaptive sampling for whole-slide histopathology image analysis (hashi) via convolutional neural networks: Application to in- vasive breast cancer detection

Reference 19

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Observation 8b25c3c3-0294-4144-a3ba-2d396ff22667 · outbound

This paper cites A multi-resolution deep learning framework for lung adenocarcinoma growth pattern classification.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images A multi-resolution deep learning framework for lung adenocarcinoma growth pattern classification

Reference 20

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Observation a46f067e-c62d-4a86-8ad7-741e2e7964fd · outbound

This paper cites A struc- tured latent model for ovarian carcinoma subtyping from histopathology slides.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images A struc- tured latent model for ovarian carcinoma subtyping from histopathology slides

Reference 21

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Observation 293f231c-f6e8-49d4-bc6d-06cdeed42225 · outbound

This paper cites Detecting Cancer Metastases on Gigapixel Pathology Images.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Detecting Cancer Metastases on Gigapixel Pathology Images

Reference 22

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Observation 65a5c3d7-ab8a-4ae2-abbd-344830d8fb98 · outbound

This paper cites Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images

Reference 23

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Observation 4877fe6b-96a3-46fb-b526-699ec9540b6c · outbound

This paper cites Cancer metastasis detection via spatially structured deep network.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Cancer metastasis detection via spatially structured deep network

Reference 24

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Observation a93a705a-1850-4088-a184-44774337315e · outbound

This paper cites Cancer detection in histopathology whole-slide images using conditional random fields on deep embedded spaces.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Cancer detection in histopathology whole-slide images using conditional random fields on deep embedded spaces

Reference 25

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Observation 148b748b-ade6-40ce-902a-b8f8d9a41b13 · outbound

This paper cites Cancer Metastasis Detection With Neural Conditional Random Field.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Cancer Metastasis Detection With Neural Conditional Random Field

Reference 26

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Observation 2cf216ca-5273-44c9-9b8e-3a1a1e0abeba · outbound

This paper cites Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images

Reference 27

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Observation 471291c7-2917-4250-92a0-80c8edc502ec · outbound

This paper cites Context- aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Context- aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images

Reference 28

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Observation 3251186e-8ae7-412e-9dd5-14e45f614267 · outbound

This paper cites Improving Whole Slide Segmentation Through Visual Context - A Systematic Study.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Improving Whole Slide Segmentation Through Visual Context - A Systematic Study

Reference 29

Resolution
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Source-reported events for the cited work

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Observation 6afb3581-1afe-4e7f-87b2-b795ff0ed118 · outbound

This paper cites Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology

Reference 30

Resolution
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Source-reported events for the cited work

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Observation 3ced0503-0bf8-4620-835b-b1e68d43a687 · outbound

This paper cites An image analysis approach for automatic malignancy determination of prostate pathological images.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images An image analysis approach for automatic malignancy determination of prostate pathological images

Reference 31

Resolution
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Source-reported events for the cited work

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Observation 300b9e8e-6394-4a43-994b-a4ef90417103 · outbound

This paper cites Prostate cancer grading: Gland segmentation and structural features.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Prostate cancer grading: Gland segmentation and structural features

Reference 32

Resolution
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Observation d19c3b54-367a-4deb-b1db-e33ac164d27e · outbound

This paper cites Deep residual learning for image recognition.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Deep residual learning for image recognition

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 43630dc4-d500-448a-a026-61c6a7085b38 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-24T17:49:45.436763Z

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Observation 2963523a-a176-4fad-89e5-5d26e887e86b · outbound

This paper cites Going deeper with convolutions.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Going deeper with convolutions

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T17:46:38.201236Z digest=sha256:b31ea9014dbe4e6d465d419dc62e94f802f8d64adba5cf1e1d02b870f02edd89

Observation 176c2439-65a1-4100-8892-cbd95f7d3a08 · outbound

This paper cites Xception: Deep learning with depthwise separable convo- lutions.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Xception: Deep learning with depthwise separable convo- lutions

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T17:49:46.139891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T17:46:38.201236Z digest=sha256:ddcf35e7bfdebe966bee56be10fd9b71a1e6323f9c31ca5b34a609af4d35fd84

Observation cbdb84d7-fd8d-4af2-810a-f155110a7e70 · outbound

This paper cites Mdnet: A se- mantically and visually interpretable medical image diagnosis network.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Mdnet: A se- mantically and visually interpretable medical image diagnosis network

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T17:49:46.135159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T17:46:38.201236Z digest=sha256:5b8676687c4569bc32650439e8a05bd52791cbb17f26c6540df7204b0e3f6233

Observation 97a85857-87f9-42b2-8ea9-123829dbf3d8 · outbound

This paper cites Neural networks for machine learning lecture 6a overview of mini-batch gradient descent.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Neural networks for machine learning lecture 6a overview of mini-batch gradient descent

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T17:49:46.132063Z

Source-reported events for the cited work

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Observation 7a619839-b76c-4d8f-bf3b-105cd9448ec2 · outbound

This paper cites Classification of breast cancer histology images using convolutional neural networks.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Classification of breast cancer histology images using convolutional neural networks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T17:49:46.125897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T17:46:38.201236Z digest=sha256:1726a36674e4fd35915aa8c88fc89f993384774df41ef7e0884996a2c5abd959

Observation dbeaa618-f6d6-4796-8c1e-77a543618db8 · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Imagenet classification with deep convolutional neural networks

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T17:49:46.128616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T17:46:38.201236Z digest=sha256:c9fe253e855f3d75fbe97ede97a27e273472c41a9ec573bcd9f4bb12d2525f20

Pith citing papers

No inbound Pith citation observations are available.