Transformer-based unsupervised contrastive learning for histopathological image classification

Author:

Wang XiyueORCID,Yang Sen,Zhang Jun,Wang Minghui,Zhang Jing,Yang Wei,Huang Junzhou,Han Xiao

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference68 articles.

1. Divide-and-rule: self-supervised learning for survival analysis in colorectal cancer;Abbet,2020

2. Mitosis domain generalization in histopathology images–The MIDOG challenge;Aubreville,2022

3. Glandular morphometrics for objective grading of colorectal adenocarcinoma histology images;Awan;Sci. Rep.,2017

4. UniToPatho, A labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading.;Barbano,2021

5. Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer;Bejnordi;JAMA,2017

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