Deep Learning-based Histopathological Image Classification of Colorectal Cancer: A Brief Survey of Recent Trends-Reference-Cited by-同舟云学术

Deep Learning-based Histopathological Image Classification of Colorectal Cancer: A Brief Survey of Recent Trends

Published:2023-11-25 Issue: Volume:2 Page:139-146
ISSN:
Container-title:Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems
language:
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Author:

Wang Yule¹^ORCID,Yin Yimin²^ORCID,Zhang Renye³^ORCID,Zhang Jinghua⁴^ORCID

Affiliation:

1. Northeastern University, China

2. National University of Defense Technology, China and Hunan First Normal University, China

3. Hunan First Normal University, China

4. National University of Defense Technology, China

Funder

National Natural Science Foundation of China

Scientific Research Project of Education Department of Hunan Province

the China Scholarship Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3638209.3638230

Reference42 articles.

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3. Deep Learning on Histopathological Images for Colorectal Cancer Diagnosis: A Systematic Review

4. Luiz Fernando Segato Dos Santos, Leandro Alves Neves, Guilherme Botazzo Rozendo, Matheus Gonçalves Ribeiro, Marcelo Zanchetta do Nascimento, and Thaína Aparecida Azevedo Tosta. 2018. Multidimensional and fuzzy sample entropy (SampEnMF) for quantifying H&E histological images of colorectal cancer. Computers in biology and medicine 103 (2018), 148–160.

5. Ponzio Francesco, Macii Enrico, Elisa Ficarra, 2018. Colorectal Cancer Classification using Deep Convolutional Networks. An Experimental Study. In 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOIMAGING 2018), Vol. 2. SciTePress, 58–66.