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A self-supervised contrastive learning approach for whole slide image representation in digital pathology

  • Published:2022 Issue: Volume:13 Page:100133
  • ISSN:2153-3539
  • Container-title:Journal of Pathology Informatics
  • language:en
  • Short-container-title:Journal of Pathology Informatics

Author:

Fashi Parsa Ashrafi,Hemati Sobhan,Babaie Morteza,Gonzalez Ricardo,Tizhoosh H.R.

Publisher

Elsevier BV

Subject

Computer Science Applications,Health Informatics,Pathology and Forensic Medicine

Reference28 articles.

1. Patch-based convolutional neural network for whole slide tissue image classification;Hou,2016

2. Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning;Coudray;Nat Med,2018

3. Yottixel–an image search engine for large archives of histopathology whole slide images;Kalra;Med Image Anal,2020

4. Solving the multiple instance problem with axis-parallel rectangles;Dietterich;Artif Intel,1997

5. Deep sets;Zaheer;Adv Neural Inform Process Syst,2017

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