Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology

no code implementations • 7 Dec 2020 • Olivier Dehaene, Axel Camara, Olivier Moindrot, Axel de Lavergne, Pierre Courtiol

We identify this as a key weakness and propose to train an in-domain feature extractor on histology images using MoCo v2, a recent self-supervised learning algorithm.

BIG-bench Machine Learning Self-Supervised Learning +1