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abcs_2020

aceloss

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

ca-net

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

cdma

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

cfenet

Code for Enhancement of High- and Low-Level Features with Improved Attention Method for Medical Image Segmentation

cople-net

COVID-19 Pneumonia Lesion segmentation network

dag4mia

Domain Adaptation and Generalization for Medical Image Analysis

dca-net

dmsps

Dynamically Mixed Soft Pseudo-label Supervision for Scribble-Supervised Medical Image Segmentation

dtc

Semi-supervised Medical Image Segmentation through Dual-task Consistency

fpl-plus

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

hamil

head-neck-gtv

ife_ai

iplc

lcovnet-and-kd

mideepseg

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

myops2020

pa-seg

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

paper-reading-group

List shared papers in our group

pf-net

Code for PF-Net (Pulmonary Fibrosis Segmentation Network)

pymic

pymic_examples

examples of using PyMIC for medical image computing with deep learning

rpr-loc

scpm-net

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

segrap2023

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

sepnet

Code for Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss.

simeps

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

simplecrf

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

ssl4mis

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