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abl-pred

monai

AI Toolkit for Healthcare Imaging

nndetection

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

nnformer

paddleseg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

pytorch-soft-actor-critic

PyTorch implementation of soft actor critic

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

stdc-seg

Source Code of our CVPR2021 paper "Rethinking BiSeNet For Real-time Semantic Segmentation"

synthmorph

Repository for training and using a contrast agnostic registration model based on the work done in SynthMorph. The contrast agnostic registration model may later be used in IvadoMed’s pipeline.

th-pranet

PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.

th-ssl4mis

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

totalsegmentator-wasserth

Tool for robust segmentation of >100 important anatomical structures in CT images