Build patches from whole slide images (WSIs) in .sdpc format.

🔧 Deeplearning-modules

A curated list of resources for using LLMs to develop more competitive grant applications.

Open source tools for computational pathology - Nature BME

NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation

The official repo for [MIDL'23 Oral] "Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation"

Pytorch implementation of "LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation"

DG-TTA

Code of DDcGAN for infrared and visible image fusion and medical image fusion

A contrastive learning based semi-supervised segmentation network for medical image segmentation

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

[MICCAI 2024] CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation

A 3D Slicer integration to Meta's SAM.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Reinforcement learning for deformable image registration, AAAI 2022

[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening