Self-supervised Visualisation of Medical Image Datasets

1 code implementation • 22 Feb 2024 • Ifeoma Veronica Nwabufo, Jan Niklas Böhm, Philipp Berens, Dmitry Kobak

Self-supervised learning methods based on data augmentations, such as SimCLR, BYOL, or DINO, allow obtaining semantically meaningful representations of image datasets and are widely used prior to supervised fine-tuning.

Contrastive Learning Self-Supervised Learning