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https://github.com/yousefis/awesome_medical

Awesome m
https://github.com/yousefis/awesome_medical

List: awesome_medical

Last synced: about 1 month ago
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Awesome m

Host: GitHub
URL: https://github.com/yousefis/awesome_medical
Owner: yousefis
Created: 2021-08-11T06:11:14.000Z (about 3 years ago)
Default Branch: main
Last Pushed: 2021-09-07T08:20:59.000Z (about 3 years ago)
Last Synced: 2024-08-03T06:01:01.133Z (about 1 month ago)
Size: 70.3 KB
Stars: 3
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

ultimate-awesome - awesome_medical - Awesome m. (Programming Language Lists / Python Lists)

README

        
# Awesome medical image processing projects 

## Segmentation

| paper | Modality |Lib|Dataset|Network|Paper(s)

| --- | --- | --- | --- | --- |---|

| [abdominal-multi-organ-segmentation](https://github.com/assassint2017/abdominal-multi-organ-segmentation) | CT |pytorch|[Multi-Atlas Labeling Beyond the Cranial Vault ](https://www.synapse.org/#!Synapse:syn3193805/wiki/217752)|Composed of two U-shape like 3D FCN||

|[Abdomen-CT-Image-Segmentation](https://github.com/tureckova/Abdomen-CT-Image-Segmentation)|CT|Pytorch||Unet and Vnet|[1](https://www.frontiersin.org/articles/10.3389/frobt.2020.00106/full)|

|[3Dunet_abdomen_cascade](https://github.com/holgerroth/3Dunet_abdomen_cascade)|CT|-||Unet|[1](https://arxiv.org/pdf/1803.05431.pdf)|

|[Multi-Organ-Segmentation](https://github.com/Prayushi9/Multi-Organ-Segmentation)|CT|Keras|-|ResNet|-|

|[CHAOS_GCN](https://github.com/armyja/CHAOS_GCN)|CT/MR|pytorch|-|[Global Convolutional Network](https://github.com/SConsul/Global_Convolutional_Network)|-|

|[OrganSegC2F](https://github.com/198808xc/OrganSegC2F)|CT|Caffe||||

|[fcn_vatsat](https://github.com/tarolangner/fcn_vatsat)||||||

|[DenseVNet3D_Segmentation](https://github.com/fitushar/DenseVNet3D_Chest_Abdomen_Pelvis_Segmentation_tf2)||||||

|[3D-Medical-Imaging-Preprocessing](https://github.com/fitushar/3D-Medical-Imaging-Preprocessing-All-you-need)||||||

|[deedsBCV](https://github.com/mattiaspaul/deedsBCV)||||||

|[CEAL-Medical-Image-Segmentation](https://github.com/marc-gorriz/CEAL-Medical-Image-Segmentation)||||||

|[medical-image-segmentation](https://github.com/topics/medical-image-segmentation)||||||

|[MIScnn](https://github.com/frankkramer-lab/MIScnn)||||||

|[SOTA-MedSeg](https://github.com/JunMa11/SOTA-MedSeg)||||||

|[Medical-Transformer](https://github.com/jeya-maria-jose/Medical-Transformer)||||||

|[medical_image_segmentation](https://github.com/CVxTz/medical_image_segmentation)||||||

|[CA-Net](https://github.com/HiLab-git/CA-Net)||||||

|[medical-image-segmentation](https://github.com/sudohainguyen/medical-image-segmentation)||||||

|[Multi-Scale-Attention](https://github.com/sinAshish/Multi-Scale-Attention)||||||

|[deepmedic](https://github.com/deepmedic/deepmedic)||||||

|[torchio](https://github.com/fepegar/torchio)||||||

|[MedicalZooPytorch](https://github.com/black0017/MedicalZooPytorch)||||||

|[u-net-brain-tumor](https://github.com/zsdonghao/u-net-brain-tumor)||||||

|[DenseUnet_Esophagus_Segmentation](https://github.com/yousefis/DenseUnet_Esophagus_Segmentation)|CT|TF|-|DDAUnet|[1](https://ieeexplore.ieee.org/document/9481104),[2](https://link.springer.com/chapter/10.1007/978-3-030-00937-3_40)|

## Registration

  * [Elastix](https://github.com/SuperElastix/elastix)

  * [AbdomenCT-1K](https://github.com/JunMa11/AbdomenCT-1K)

  * [registration_tutorial](https://github.com/MASILab/registration_tutorial)

  * [abdominal_registration](https://github.com/TheoEst/abdominal_registration)

  * [drop2](https://github.com/biomedia-mira/drop2)

  * [RegNet](https://github.com/hsokooti/RegNet)

  * [RegUn](https://github.com/hsokooti/RegUn)

  * [istn](https://github.com/biomedia-mira/istn)

  * [OneShotImageRegistration](https://github.com/ToFec/OneShotImageRegistration)

  * [registration](https://github.com/uncbiag/registration)

  * [ICNet](https://github.com/zhangjun001/ICNet)

  * [image-registration-cnn](https://github.com/shreshth211/image-registration-cnn)

  * [pdd_net](https://github.com/multimodallearning/pdd_net)

  * [Recursive-Cascaded-Networks](https://github.com/microsoft/Recursive-Cascaded-Networks)

  * [voxelmorph](https://github.com/voxelmorph/voxelmorph)

  * [Medical-image-registration](https://github.com/dykuang/Medical-image-registration)

  * [label-reg](https://github.com/YipengHu/label-reg)

  * [ANTsPyNet](https://github.com/ANTsX/ANTsPyNet)

  * [path_planning_for_FEVAR](https://github.com/jianqingzheng/path_planning_for_FEVAR)

  * [DeepLearningInMedicalImagingAndMedicalImageAnalysis](https://github.com/shawnyuen/DeepLearningInMedicalImagingAndMedicalImageAnalysis)

## Classification

  * [Medical-Image-Classification](https://github.com/ljbatwh/Medical-Image-Classification)

  * [Medical-Image-Classification-using-deep-learning](https://github.com/21Vipin/Medical-Image-Classification-using-deep-learning)

  * [Hello_World_Deep_Learning](https://github.com/paras42/Hello_World_Deep_Learning)

  * [X-ray-images-classification](https://github.com/faust-prime/X-ray-images-classification-with-Keras-TensorFlow)

  * [Survival_classification](https://github.com/GKaramiMP/Survival_classification)

## Detection 

  * [Brain-Tumor-Detection-from-MRI-Scans](https://github.com/muhammadsanaullah/Brain-Tumor-Detection-from-MRI-Scans)

  * [medicaldetectiontoolkit](https://github.com/MIC-DKFZ/medicaldetectiontoolkit)

 

## Reconstruction

  * [fastMRI](https://github.com/facebookresearch/fastMRI)

  * [Hadamard-te-ASL-recon](https://github.com/yousefis/Hadamard-te-ASL-recon)

  * 

## Others

  * [DLTK](https://github.com/DLTK/DLTK)

  * [medicaltorch](https://github.com/perone/medicaltorch)

  * [dipy](https://github.com/dipy/dipy)

  * [ASL2PET](https://github.com/yousefis/ASL2PET)