Breast Cancer Histology Image Classification 1

The task of classifying breast cancer histological images (with 20% labeled data) involves accurately classifying histological images from the BreakHis dataset using deep learning models under conditions of limited labeled data. This task aims to improve model training efficiency and generalization capability by reducing the amount of required labeled data, thereby enabling faster and more precise decision support in clinical pathology.