Breast Cancer Histology Image Classification (20% labels)
1 papers with code • 1 benchmarks • 1 datasets
Model's breast cancer histology image classification performance on BreakHis dataset with limited training data labels of 20%.
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images
This work presents a novel self-supervised pre-training method to learn efficient representations without labels on histopathology medical images utilizing magnification factors.