Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology
The examination of histopathology images is considered to be the gold standard for the diagnosis and stratification of cancer patients. A key challenge in the analysis of such images is their size, which can run into the gigapixels and can require tedious screening by clinicians. With the recent advances in …