Deep learning based tumor–stroma ratio scoring in colon cancer correlates with microscopic assessment-Reference-Cited by-同舟云学术

Deep learning based tumor–stroma ratio scoring in colon cancer correlates with microscopic assessment

Published:2023 Issue: Volume:14 Page:100191
ISSN:2153-3539
Container-title:Journal of Pathology Informatics
language:en
Short-container-title:Journal of Pathology Informatics

Author:

Smit Marloes A.,Ciompi Francesco,Bokhorst John-Melle,van Pelt Gabi W.,Geessink Oscar G.F.,Putter Hein,Tollenaar Rob A.E.M.,van Krieken J. Han J.M.,Mesker Wilma E.,van der Laak Jeroen A.W.M.

Funder

European Commission

KWF Kankerbestrijding

Publisher

Elsevier BV

Subject

Computer Science Applications,Health Informatics,Pathology and Forensic Medicine

Reference19 articles.

1. Scoring the tumor-stroma ratio in colon cancer: procedure and recommendations;van Pelt;Virchows Arch,2018

2. Tanke H.J.,et al. The carcinoma-stromal ratio of colon carcinoma is an independent factor for survival compared to lymph node status and tumor stage;Mesker;Cell Oncol,2007

3. Association between tumor-stroma ratio and prognosis in solid tumor patients: a systematic review and meta-analysis;Wu;Oncotarget,2016

4. Zou S.Tumor-stroma ratio(TSR) as a potential novel predictor of prognosis in digestive system cancers: a meta-analysis;Zhang;Clin Chim Acta,2017

5. Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study;Bulten;Lancet Oncol,2020

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