Automatic Tumor Grading on Colorectal Cancer Whole-Slide Images: Semi-Quantitative Gland Formation Percentage and New Indicator Exploration

Automatic Tumor Grading on Colorectal Cancer Whole-Slide Images: Semi-Quantitative Gland Formation Percentage and New Indicator Exploration

Tumor grading is an essential factor for cancer staging and survival prognostication. The widely used the WHO grading system defines the histological grade of CRC adenocarcinoma based on the density of glandular formation on whole-slide images (WSIs). We developed a fully automated approach for stra...

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Bibliographic Details
Main Authors: Shenlun Chen, Meng Zhang, Jiazhou Wang, Midie Xu, Weigang Hu, Leonard Wee, Andre Dekker, Weiqi Sheng, Zhen Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Oncology
Subjects:
tumor grading
whole-slide histopathology image
colorectal cancer
deep learning
gland formation
Pathology and clinical outcomes
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.833978/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.833978/full

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