Healthcare Intelligence Laboratory

SSL4MIS

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

PyMIC

DTC

Semi-supervised Medical Image Segmentation through Dual-task Consistency

WSL4MIS

Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.

CA-Net

Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.

SimpleCRF

matlab and python wrap of crf and dense crf, both 2d and 3d are supported

WORD

[MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

MIDeepSeg

[MedIA2021]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning

DAG4MIA

Domain Adaptation and Generalization for Medical Image Analysis

COPLE-Net

COVID-19 Pneumonia Lesion segmentation network

ACELoss

Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"

UGIR

Uncertainty-Guided Interactive Refinement for Segmentation

Paper-Reading-Group

List shared papers in our group

SCPM-Net

[MICCAI2020]CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans

CDMA

offical code for: Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions. MICCAI 2023.

PyMIC_examples

examples of using PyMIC for medical image computing with deep learning

SegRap2023

[SegRap2023]A challenge about organ-at-risk and gross-tumor-volume segmentation in adaptive radiotherapy hosted on MICCAI2023.

LCOVNet-and-KD

UPL-SFDA

Head-Neck-GTV

MyoPS2020

PA-Seg

PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation

PF-Net

Code for PF-Net (Pulmonary Fibrosis Segmentation Network)

HAMIL

DCA-Net

RPR-Loc

FPL-plus

FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation

ABCs_2020

IFE_AI

simEps

This repo contains implementation of semi-supervised defect segmentation based on pairwise similarity map consistency and ensemble-based cross pseudo labels