aixiatian30

CTAI

基于深度学习的肿瘤辅助诊断系统，以图像分割为核心，利用人工智能完成肿瘤区域的识别勾画并提供肿瘤区域的特征来辅助医生进行诊断。有完整的模型构建、后端架设、工业级部署和前端访问功能。TensorRT、PyTorch 、OpenCV 、Flask、Vue

CoordAttention

Code for our CVPR2021 paper coordinate attention

ATLAS-R2.0---Stroke-Lesion-Segmentation

ATLAS R2.0 - Anatomical Tracings of Lesions After Stroke

Covid-Chestxray-lambda-fuzzy

Official Python implementation of IEEE JBHI 2021 paper: "Choquet Integral and Coalition Game-based Ensemble of Deep Learning Models for COVID-19 Screening from Chest X-ray Images"

CheXNet

A pytorch reimplementation of CheXNet

dataset

医学影像数据集列表 『An Index for Medical Imaging Datasets』

Chest-xray-landmark-dataset

Joint_Graph_Segmentation

Novel architecture for graph segmentation networks which leverage the benefits of both dense- and point- based algorithms to improve segmentation accuracy while maintaining anatomical plausibility

covid19_xp

Deep learning model for classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image:

Covid19-Automated-Detection

Covid-19 automated detection

BiomedGPT

BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

X-REM

gin-gorm-oj

在线练习系统 ==> 后端：基于Gin、Redis、Gorm实现 前端：基于Vue、Element实现

gin-vue-admin

🚀Vite+Vue3+Gin的开发基础平台，支持TS和JS混用。它集成了JWT鉴权、权限管理、动态路由、显隐可控组件、分页封装、多点登录拦截、资源权限、上传下载、代码生成器【可AI辅助】、表单生成器和可配置的导入导出等开发必备功能。

UNeXt-pytorch

Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022

go-blog

Golang+gin+vue+MySQL blog

gin-vue-blog

Golang 全栈博客，支持 Docker Compose 一键部署。基于最新前后端技术栈 Vue3、TS、Unocs 、Redis 等。前端包含博文展示前台、博客后台管理系统。后端包含 JWT 鉴权、RBAC 权限控制等。代码质量高注释全接口文档完善，适合前后端开发者学习。

DCSAU-Net

Elsevier-CIBM-2023: A deeper and more compact split-attention U-Net for medical image segmentation

project-based-learning

Curated list of project-based tutorials

awesome-go

A curated list of awesome Go frameworks, libraries and software

build-web-application-with-golang

A golang ebook intro how to build a web with golang

Image_Segmentation

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

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

QASystemOnMedicalKG

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

Medical-Robot-AI

基于Rasa框架实现的智能医疗机器人 功能包含: 医药问答 智能问药 疾病诊断 病症查询 症状查询 闲聊 天气查询 语音对话 使用手段包括: rasa框架 知识图谱 neo4j数据库 语音识别 语音合成 开放API 等功能