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Source: paper_references, paper_reference_links, observed 2026-08-14T05:31:33.216892Z
Paper Citation Record · LEDGER
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
As of 15 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:1909.01068.
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Source: cited_works
Reference resolution
53 of 53 outbound references displayed
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External citation measurements
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Outbound references
Observation ff90ffc0-e18b-49bd-88b5-02c8bfa881bf · outbound
This paper cites Classification of breast cancer histol- ogy images using convolutional neural networks.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Classification of breast cancer histol- ogy images using convolutional neural networks
Reference 1
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Observation 05bf9cc5-3697-43dd-9fa2-69672445b0ae · outbound
This paper cites Glandular morphometrics for objective grading of colorectal adenocarcinoma histology images.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Glandular morphometrics for objective grading of colorectal adenocarcinoma histology images
Reference 2
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Observation 4e7bb1bd-eab3-44a4-be07-da812a15e60e · outbound
This paper cites Ecm-aware cell-graph mining for bone tissue modeling and classification.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Ecm-aware cell-graph mining for bone tissue modeling and classification
Reference 3
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Observation b722e7fe-ee11-42ad-b773-efca706c7860 · outbound
This paper cites Cell-graph mining for breast tissue modeling and classification.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Cell-graph mining for breast tissue modeling and classification
Reference 4
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Observation 59891bb6-acf0-493c-ab41-56b3629d06a5 · outbound
This paper cites Global cancer statistics 2018: Globocan estimates of inci- dence and mortality worldwide for 36 cancers in 185 coun- tries.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Global cancer statistics 2018: Globocan estimates of inci- dence and mortality worldwide for 36 cancers in 185 coun- tries
Reference 5
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Observation 4253162a-b3b4-49da-aa6d-e3abe6fc296c · outbound
This paper cites Spectral networks and locally connected networks on graphs.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Spectral networks and locally connected networks on graphs
Reference 6
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Observation ccf72933-3f68-4cd4-a2f0-81a2ccdcc7a0 · outbound
This paper cites Multi-label image recognition with graph convolutional net- works.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Multi-label image recognition with graph convolutional net- works
Reference 7
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Observation b0fd86f3-1180-4d8b-a7f6-a21a6decae21 · outbound
This paper cites Xception: Deep learning with depthwise separable convolutions.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Xception: Deep learning with depthwise separable convolutions
Reference 8
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Observation 93b21fec-9379-4d1d-abae-80d74d926458 · outbound
This paper cites Prognostic factors in col- orectal cancer: College of american pathologists consen- sus statement 1999.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Prognostic factors in col- orectal cancer: College of american pathologists consen- sus statement 1999
Reference 9
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Observation ca09ed2a-4fbd-4c00-9640-81ccbaf59667 · outbound
This paper cites Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
Reference 10
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Observation c4b532d3-55f4-43b9-9f8a-920849bf7414 · outbound
This paper cites High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection.
CGC-Net: Cell Graph Convolutional 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 invasive breast cancer detection
Reference 11
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Observation 0a9b1005-9f7f-42d7-b565-6cda5c5c874a · outbound
This paper cites Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Reference 12
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Observation 86619dfe-6bed-4845-ad5f-c63d2b893d5e · outbound
This paper cites Augmented cell-graphs for automated cancer diagnosis.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Augmented cell-graphs for automated cancer diagnosis
Reference 13
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Observation cd06f521-3b38-4106-86d3-4ec2e26d1e0f · outbound
This paper cites The use of morphologi- cal characteristics and texture analysis in the identification of tissue composition in prostatic neoplasia.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images The use of morphologi- cal characteristics and texture analysis in the identification of tissue composition in prostatic neoplasia
Reference 14
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Observation 4056d59b-e1cd-4e83-80ba-7a9ca9da135a · outbound
This paper cites Com- puterized classification of intraductal breast lesions using histopathological images.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Com- puterized classification of intraductal breast lesions using histopathological images
Reference 15
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Observation 9bbc014a-6637-4ca2-9085-45c619a68330 · outbound
This paper cites The farthest point strategy for pro- gressive image sampling.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images The farthest point strategy for pro- gressive image sampling
Reference 16
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Observation 93304566-5975-4a32-9464-2eb91cf6a1f6 · outbound
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CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Unresolved cited work
Reference 17
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This paper cites Graph U-nets.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Graph U-nets
Reference 18
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Observation 46358b31-adb5-42d5-80fb-b471e2ec9d47 · outbound
This paper cites Detection and clas- sification of cancer in whole slide breast histopathology im- ages using deep convolutional networks.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Detection and clas- sification of cancer in whole slide breast histopathology im- ages using deep convolutional networks
Reference 19
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Observation d2c4ad9a-bd7d-4313-958d-b32fb53155ed · outbound
This paper cites A new model for learning in graph domains.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images A new model for learning in graph domains
Reference 20
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Observation 9c2554aa-def8-41a0-9605-d7f0e25b2fb0 · outbound
This paper cites MILD-Net: Minimal information loss dilated net- work for gland instance segmentation in colon histology im- ages.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images MILD-Net: Minimal information loss dilated net- work for gland instance segmentation in colon histology im- ages
Reference 21
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Observation 07cac93b-826a-4371-9e4c-d5e882b39318 · outbound
This paper cites Classification of lung cancer histology images using patch-level summary statistics.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Classification of lung cancer histology images using patch-level summary statistics
Reference 22
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Observation c9f0e2c0-7a2f-4b1b-94c2-16889afd0f1a · outbound
This paper cites HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Images.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Images
Reference 23
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Observation be7d6fc9-6ca4-45fb-b687-dd259e6502fa · outbound
This paper cites Pathology and genetics of tumours of the digestive system , volume 48.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Pathology and genetics of tumours of the digestive system , volume 48
Reference 24
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Observation 37ee32e0-ea0d-4552-bc52-410ca3630aaf · outbound
This paper cites Hamilton, Zhitao Ying, and Jure Leskovec.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Hamilton, Zhitao Ying, and Jure Leskovec
Reference 25
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This paper cites Deep residual learning for image recognition.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Deep residual learning for image recognition
Reference 26
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Observation 70b72c77-895a-4264-bae6-8ec13e80328e · outbound
This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Reference 27
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This paper cites Cellular community detec- tion for tissue phenotyping in histology images.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Cellular community detec- tion for tissue phenotyping in histology images
Reference 28
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This paper cites Graph convolutional networks for cervical cell classification.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Graph convolutional networks for cervical cell classification
Reference 29
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Observation dd05026d-7f5a-4483-8ba0-52a20765eb32 · outbound
This paper cites An automated machine vision system for the histological grading of cervical intraepithelial neopla- sia (cin).
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images An automated machine vision system for the histological grading of cervical intraepithelial neopla- sia (cin)
Reference 30
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CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Semi-supervised classifica- tion with graph convolutional networks
Reference 31
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Observation bf473ec9-a0f9-4570-bacb-ae80e860093e · outbound
This paper cites Deeper insights into graph convolutional networks for semi-supervised learn- ing.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Deeper insights into graph convolutional networks for semi-supervised learn- ing
Reference 32
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Observation 8d3a886f-fd21-463c-b1e6-bd3b64f0b323 · outbound
This paper cites Detecting Cancer Metastases on Gigapixel Pathology Images.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Detecting Cancer Metastases on Gigapixel Pathology Images
Reference 33
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This paper cites Neural network for graphs: A contextual constructive approach.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Neural network for graphs: A contextual constructive approach
Reference 34
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Observation 1e961d51-b690-4cfb-bb62-3b06b873dca0 · outbound
This paper cites Prostate can- cer grading: Gland segmentation and structural features.Pat- tern Recognition Letters, 33(7):951–961, 2012.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Prostate can- cer grading: Gland segmentation and structural features.Pat- tern Recognition Letters, 33(7):951–961, 2012
Reference 35
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Observation ac22df45-bcb1-4d86-aaf3-d52c12dc1186 · outbound
This paper cites Learning convolutional neural networks for graphs.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Learning convolutional neural networks for graphs
Reference 36
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Observation 4187f509-1fae-4624-9f8a-7ed9a5fc5801 · outbound
This paper cites Follicular lymphoma grading using cell-graphs and multi- scale feature analysis.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Follicular lymphoma grading using cell-graphs and multi- scale feature analysis
Reference 37
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Observation a00ac3a1-304c-44c5-a178-fb512b7dab39 · outbound
This paper cites Automatic dif- ferentiation in PyTorch.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Automatic dif- ferentiation in PyTorch
Reference 38
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Observation cbc24af8-1ec0-4714-b64d-c9c68b18146c · outbound
This paper cites The graph neural net- work model.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images The graph neural net- work model
Reference 39
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Observation 7814dda8-085c-4bf4-beaf-ff8af7205140 · outbound
This paper cites Computer-aided classification of breast cancer nuclei.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Computer-aided classification of breast cancer nuclei
Reference 40
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Observation ebaf7ff0-0785-4dc9-80da-118c2d9998f8 · outbound
This paper cites Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images
Reference 41
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Observation 011e37b3-1bcc-40c5-b14a-ab597020fe9e · outbound
This paper cites Improving Whole Slide Seg- mentation Through Visual Context - A Systematic Study.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Improving Whole Slide Seg- mentation Through Visual Context - A Systematic Study
Reference 42
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Observation 7aee890c-d72a-4bd1-8960-0e7c3bc7a4c1 · outbound
This paper cites Novel digital signatures of tissue phenotypes for predicting distant metastasis in colorectal cancer.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Novel digital signatures of tissue phenotypes for predicting distant metastasis in colorectal cancer
Reference 43
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Observation 154611a3-7f26-4d2c-89f9-687014716d38 · outbound
This paper cites Breast cancer histopathological image classification using convolutional neural networks.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Breast cancer histopathological image classification using convolutional neural networks
Reference 44
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Observation b1de7a9b-006f-483a-bea7-2da31b519f19 · outbound
This paper cites Dropout: a simple way to prevent neural networks from overfitting.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Dropout: a simple way to prevent neural networks from overfitting
Reference 45
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Observation f644ffa2-58b4-4ce8-bf4f-91ade1bd2354 · outbound
This paper cites Going deeper with convolutions.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Going deeper with convolutions
Reference 46
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Observation 18f69a11-df92-4bb3-8753-0fdfa40d1cdc · outbound
This paper cites Computer-assisted differential diagnosis of malignant mesothelioma based on syntactic structure analy- sis.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Computer-assisted differential diagnosis of malignant mesothelioma based on syntactic structure analy- sis
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:31:33.413772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 17ef2cb8-004b-488a-946d-4d3567a11650 · outbound
This paper cites Representa- tion learning on graphs with jumping knowledge networks.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Representa- tion learning on graphs with jumping knowledge networks
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:31:33.397376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 67946abf-ac66-45f9-a93e-60d0b2a5a563 · outbound
This paper cites Cell-graphs: image-driven modeling of structure-function relationship.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Cell-graphs: image-driven modeling of structure-function relationship
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:31:33.381119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 452fdd7b-4da6-400d-b0b0-72d37feccfa8 · outbound
This paper cites Hamilton, and Jure Leskovec.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Hamilton, and Jure Leskovec
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:31:33.366473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 66b00a0a-4f55-4f42-9222-bfec3c39f579 · outbound
This paper cites Segmentation of vessel-like patterns using mathematical morphology and curvature eval- uation.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Segmentation of vessel-like patterns using mathematical morphology and curvature eval- uation
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:31:33.350396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 86c66358-3b11-4e52-8136-07463179432b · outbound
This paper cites An end-to-end deep learning architecture for graph classification.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images An end-to-end deep learning architecture for graph classification
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:31:33.334724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 706fada9-7bdc-46d5-9108-5a52d28f35e2 · outbound
This paper cites CIA-Net: Ro- bust nuclei instance segmentation with contour-aware infor- mation aggregation.
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images CIA-Net: Ro- bust nuclei instance segmentation with contour-aware infor- mation aggregation
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:31:33.319700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.