fionaorange

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

deep-learning-for-image-processing

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

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

chatGPTBox

Integrating ChatGPT into your browser deeply, everything you need is here

BasicSR

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

SegLossOdyssey

A collection of loss functions for medical image segmentation

MedSAM

Segment Anything in Medical Images

Image_Segmentation

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

UNet-family

Paper and implementation of UNet-related model.

TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

UNetPlusPlus

[IEEE TMI] Official Implementation for UNet++

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

MedicalNet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

3DUnetCNN

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

Unet-Segmentation-Pytorch-Nest-of-Unets

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

MedicalZooPytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

unet-pytorch

这是一个unet-pytorch的源码，可以训练自己的模型

3DUNet-Pytorch

3DUNet implemented with pytorch

UNet-Zoo

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

unet

U-Net Biomedical Image Segmentation

Coronary-Artery-Tracking-via-3D-CNN-Classification

The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')

SlicerExtension-VMTK

CoronaryArteryCenterline

Coronary artery centerline extraction from CT image (.mha format) 从心脏CT图像提取冠状动脉中心线

unet-aspp-segmentation

General purpose medical segmentation

Vessel-centerline-extraction

根据最短路径回溯算法提取血管的中心线

3D-ResUnet

Curved-Projection-Reformation-CPR-

Curved Projection Reformation

coronary_cta_prediciton

CTO-model

This is an implementation of "Deep Learning Prediction for Percutaneous Recanalization of Chronic Total Occlusion Using Coronary CT Angiography".

ASPP_UNet