Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

PFA-ScanNet: Pyramidal Feature Aggregation With Synergistic Learning for Breast Cancer Metastasis Analysis (Architecture Only Pytorch Implementation).

AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification

Dissertation completed for the award of MSci in Computer Science. This dissertation is about automated breast cancer detection in low-resolution whole-slide pathology images using a deep convolutional neural network pipeline.