degts

AbdomenCT-1K

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

sarcopenia-ai

Code for paper Kanavati, F. et al. (2020). Fully-automated deep learning slice-based muscle estimation from CT images for sarcopenia assessment. arXiv preprint arXiv:2006.06432.

PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

UNET-ZOO

including unet,unet++,attention-unet,r2unet,cenet,segnet ,fcn.

ModelsGenesis

[MICCAI 2019] [MEDIA 2020] Models Genesis

PaddleSeg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

UNet-family

Paper and implementation of UNet-related model.

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

bongocat-osu

An osu! Bongo Cat overlay

AIDE

AIDE: Annotation-efficient deep learning for automatic medical image segmentation

PRML_learning

learning fomula

nndl

Another Chinese Translation of Neural Networks and Deep Learning

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-from-scratch

《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》

3DUNet-Pytorch

3DUNet implemented with pytorch

Pytorch-Unet3D-single_channel

3D-Unet: patched based Pytorch implementation for medical images segmentation

Segm_Ident_Vertebrae_CNN_kmeans_knn

Segmentation and Identification of Vertebrae in CT Scans using CNN, k-means Clustering and k-NN

Pytorch-IterativeFCN

Pytorch implementation of the paper Iterative fully convolutional neural networks for automatic vertebra segmentation accepted in MIDL2018.

Deep-Learning-based-CT-scan-vertebrae-segmentation

Deep learning based auto instance segmentation for vertebrae , developed by PyTorch from nnUNet

U-Net-liver

基于UNet的肝脏CT分割

Liver-Segmentation-with-AttentionUNet

Automatic Liver Segmentation of CT Volumes Using 2D Attention-UNet

VT-UNet

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Lung_Segmentation

Lung Segmentation UNet model on 3D CT scans

Image_Segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

verse

Everything about the 'Large Scale Vertebrae Segmentation Challenge' @ MICCAI 2019-2020

nnUNet

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

MedicalDataAugmentationTool-VerSe

various_FCM_segmentation

Image segmentation Using Various Fuzzy C-means Algorithms (FCM, EnFCM, MFCM).

SIFCM

Image Segmentation using Spatial Intuitionistic Fuzzy C Means Clustering