Healthcare Intelligence Laboratory
Healthcare Intelligence Laboratory
SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
CA-Net
Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.
DTC
Semi-supervised Medical Image Segmentation through Dual-task Consistency
SimpleCRF
matlab and python wrap of crf and dense crf, both 2d and 3d are supported
MIDeepSeg
[MedIA2021]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning
WSL4MIS
Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.
ACELoss
Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"
DAG4MIA
Domain Adaptation and Generalization for Medical Image Analysis