JunMa11/ML-SRT JunMa11/ML-SRT

  • Stars
    star
    10
  • Rank 1,807,489 (Top 36 %)
  • Language
  • License
    Apache License 2.0
  • Created almost 3 years ago
  • Updated over 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
JunMa11/ML-SRT
github

JunMa11

Reviews

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

Repository Details

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

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

TNSCUI2020

3 Steps achieve SOTA in MICCAI 2020 Thyroid Nodule Segmentation Challenge
Python
60
star
10

FLARE

Official Repository of MICCAI FLARE Challenges
Python
59
star
11

NeurIPS-CellSeg

Naive baseline for microscopy image segmentation challenge in NeurIPS 2022
Python
57
star
12

GeneralizedMedSeg

Recent progress on domain adaption/generalization for medical image segmentation
53
star
13

ADAM2020

Solution to MICCAI 2020 ADAM
Python
35
star
14

HM_DataAug

A solution to MICCAI 2020 M&Ms
Python
25
star
15

SOTA-MedReg

State-of-the-art medical image registration methods
18
star
16

PrePostSeg

Pre-processing and post-processing for medical image segmentation
Python
15
star
17

MICCAI-Reproducibility-Checklist

Submission for MICCAI HACKATHON: https://miccai-hackathon.com/#participate
12
star
18

PETCTSeg

Automatic segmentation models for PET and CT scans
Python
11
star
19

iseg2019

Solution to MICCAI iSeg-2019
Python
11
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