• Stars
    star
    7
  • Rank 2,294,772 (Top 46 %)
  • Language
    Python
  • Created 6 months ago
  • Updated 4 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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

More Repositories

1

SSL4MIS

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Python
2,154
star
2

PyMIC

Python
343
star
3

DTC

Semi-supervised Medical Image Segmentation through Dual-task Consistency
Python
288
star
4

WSL4MIS

Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.
Python
199
star
5

CA-Net

Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.
Python
168
star
6

SimpleCRF

matlab and python wrap of crf and dense crf, both 2d and 3d are supported
C++
164
star
7

WORD

[MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
Python
146
star
8

MIDeepSeg

[MedIA2021]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning
Python
120
star
9

DAG4MIA

Domain Adaptation and Generalization for Medical Image Analysis
Python
112
star
10

COPLE-Net

COVID-19 Pneumonia Lesion segmentation network
Python
87
star
11

ACELoss

Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"
Python
70
star
12

Paper-Reading-Group

List shared papers in our group
64
star
13

UGIR

Uncertainty-Guided Interactive Refinement for Segmentation
Python
58
star
14

SCPM-Net

[MICCAI2020]CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans
Python
55
star
15

CDMA

offical code for: Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions. MICCAI 2023.
Python
48
star
16

PyMIC_examples

examples of using PyMIC for medical image computing with deep learning
Python
32
star
17

LCOVNet-and-KD

Python
24
star
18

SegRap2023

[SegRap2023]A challenge about organ-at-risk and gross-tumor-volume segmentation in adaptive radiotherapy hosted on MICCAI2023.
Python
23
star
19

UPL-SFDA

Python
22
star
20

SepNet

Code for Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss.
Python
21
star
21

FPL-plus

FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation
Python
18
star
22

PA-Seg

PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation
Python
15
star
23

MyoPS2020

Python
15
star
24

Head-Neck-GTV

Python
15
star
25

HAMIL

Python
10
star
26

PF-Net

Code for PF-Net (Pulmonary Fibrosis Segmentation Network)
Python
10
star
27

DCA-Net

Python
8
star
28

UGTST

6
star
29

RPR-Loc

Python
5
star
30

CFENet

Code for Enhancement of High- and Low-Level Features with Improved Attention Method for Medical Image Segmentation
Jupyter Notebook
5
star
31

IPLC

Python
3
star
32

ABCs_2020

Python
2
star
33

UM-CAM

Python
1
star