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

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673 Stars

114 Forks

673 Watchers

Python Language

100 SrcLog Score

Cost to Build

$225.9K

Market Value

$677.2K

How is this calculated?

Growth over time

8 data points · 2021-08-01 → 2026-04-01

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What is the xming521/CTAI GitHub project? Description: "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 ". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone CTAI

Clone via HTTPS

git clone https://github.com/xming521/CTAI.git

Clone via SSH

[email protected]:xming521/CTAI.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the CTAI issue tracker:

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