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.

Multi-head Attention-based Deep Multiple Instance Learning

Macenko normalisation of big medical slides

[AAAI'23] MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis

A pathology image server using DICOM and FHIR to manage WSI files.

Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch

An effective deep learning classification framework for whole slide images.

Code for paper "SMILE: Self-Motivated Multi-instance Learning for Whole Slide Image Classification" submission under review.

Histopathology Atlas contains whole slide images of various diseases

Whole slide training with single GPU

Repository for "Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification""

nuclei.io: Human-in-the-loop active learning framework for pathology image analysis

[MICCAI'23] HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis

Implementation of "Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification", (CVPR 2024 Highlight).

The implementation of our MLMI19 oral paper "WSI-Net: Branch-based and Hierarchy-aware Network for Segmentation and Classification of Breast Histopathological Whole-slide Images."

A .NET library & program for annotating, & editing various microscopy imaging formats using Bioformats supported images. including whole slide, pyramidal & series.

Official Pytorch Code of Our Paper: Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need

Unofficial implementation for ScanNet (a fast WSI prediction method) in PyTorch.

Code to reproduce results of the Gigapixel Histopathological Image Analysis Using Attention-Based Neural Networks paper.

Bio Library in .NET8. Bio is a library & program for annotating, & editing various microscopy imaging formats using Bioformats supported images. including whole slide, pyramidal & series.