A selective CutMix approach improves generalizability of deep learning-based grading and risk assessment of prostate cancer-Reference-Cited by-同舟云学术

A selective CutMix approach improves generalizability of deep learning-based grading and risk assessment of prostate cancer

Published:2024-12 Issue: Volume:15 Page:100381
ISSN:2153-3539
Container-title:Journal of Pathology Informatics
language:en
Short-container-title:Journal of Pathology Informatics

Author:

Patkar Sushant,Harmon Stephanie,Sesterhenn Isabell,Lis Rosina,Merino Maria,Young Denise,Brown G. Thomas,Greenfield Kimberly M.,McGeeney John D.,Elsamanoudi Sally,Tan Shyh-Han,Schafer Cara,Jiang Jiji,Petrovics Gyorgy,Dobi Albert,Rentas Francisco J.,Pinto Peter A.,Chesnut Gregory T.,Choyke Peter,Turkbey Baris,Moncur Joel T.

Funder

National Institutes of Health

Uniformed Services University of the Health Sciences

Publisher

Elsevier BV

Reference33 articles.

1. Classification of prostatic carcinomas;Gleason;Cancer Chemother Rep,1966

2. Heterogeneity of prostate cancer in radical prostatectomy specimens;Aihara;Urology,1994

3. The 2014 International Society of Urological Pathology (ISUP) consensus conference on Gleason grading of prostatic carcinoma: definition of grading patterns and proposal for a new grading system;Epstein;Am J Surg Pathol,2016

4. Interobserver reproducibility of Gleason grading of prostatic carcinoma: general pathologist;Allsbrook;Hum Pathol,2001

5. Standardization of Gleason grading among 337 European pathologists;Egevad;Histopathology,2013

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Histopathologic Differential Diagnosis and Estrogen Receptor/Progesterone Receptor Immunohistochemical Evaluation of Breast Carcinoma Using a Deep Learning–Based Artificial Intelligence Architecture;The American Journal of Pathology;2024-09