JunMa11/TNSCUI2020 JunMa11/TNSCUI2020

  • Stars
    star
    60
  • Rank 503,336 (Top 10 %)
  • Language
    Python
  • License
    Apache License 2.0
  • Created over 4 years ago
  • Updated over 4 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
JunMa11/TNSCUI2020
github

JunMa11

Reviews

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

Repository Details

3 Steps achieve SOTA in MICCAI 2020 Thyroid Nodule Segmentation Challenge

More Repositories

1

SegLossOdyssey

A collection of loss functions for medical image segmentation
Python
3,724
star
2

SOTA-MedSeg

SOTA medical image segmentation methods based on various challenges
1,463
star
3

MICCAI-OpenSourcePapers

MICCAI 2019-2023 Open Source Papers
1,189
star
4

SegWithDistMap

How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study
Python
371
star
5

MedUncertainty

Uncertainty in Medical Image Analysis
310
star
6

AbdomenCT-1K

The official repository of "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"
Python
208
star
7

COVID-19-CT-Seg-Benchmark

A Benchmark for Lung and Infection Segmentation in COVID-19 CT scans
Python
138
star
8

Diffusion-Models-in-MedIA

A curated list of diffusion models in medical image analysis.
81
star
9

FLARE

Official Repository of MICCAI FLARE Challenges
Python
59
star
10

NeurIPS-CellSeg

Naive baseline for microscopy image segmentation challenge in NeurIPS 2022
Python
57
star
11

GeneralizedMedSeg

Recent progress on domain adaption/generalization for medical image segmentation
53
star
12

ADAM2020

Solution to MICCAI 2020 ADAM
Python
35
star
13

HM_DataAug

A solution to MICCAI 2020 M&Ms
Python
25
star
14

SOTA-MedReg

State-of-the-art medical image registration methods
18
star
15

PrePostSeg

Pre-processing and post-processing for medical image segmentation
Python
15
star
16

MICCAI-Reproducibility-Checklist

Submission for MICCAI HACKATHON: https://miccai-hackathon.com/#participate
12
star
17

PETCTSeg

Automatic segmentation models for PET and CT scans
Python
11
star
18

iseg2019

Solution to MICCAI iSeg-2019
Python
11
star
19

ML-SRT

Machine learning methods for spatially resolved transcriptomics with histology images: a collection of related resources.
10
star
20

CADA2020

Solution to CADA 2020 challenge.
Python
9
star
21

MICCAI-Challenge-Models

Trained models of MICCAI 2020 challenges.
8
star
22

MICCAI2020-Refuge2

Python
4
star
23

COVID-19-SemiSeg

Trained models for COVID-19 Segmentation
2
star
24

AbdomenSegUnc

Abdomen organ segmentation and uncertainty estimation: a large-scale study
Python
1
star