Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images

Author:

Chhipa Prakash Chandra1,Upadhyay Richa1,Pihlgren Gustav Grund1,Saini Rajkumar1,Uchida Seiichi2,Liwicki Marcus1

Affiliation:

1. Luleå Tekniska Universitet,Machine Learning Group,EISLAB,Luleå,Sweden

2. Kyushu University,Human Interface Laboratory,Fukuoka,Japan

Publisher

IEEE

Reference63 articles.

1. Classification of Breast Cancer Histology Images Using Transfer Learning

2. Exploring Simple Siamese Representation Learning

3. Rotation equivariant cnns for digital pathology;veeling;International Conference on Medical Image Computing and Computer-Assisted Intervention,2018

4. Big self-supervised models are strong semi-supervised learners;chen;Advances in neural information processing systems,2020

5. Data-Efficient Histopathology Image Analysis with Deformation Representation Learning

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