xming521/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
Join the conversation
Reviews · Questions · Posts
Share what you know about CTAI — write a review from your real experience, ask an implementation question, or publish a post about how you use it.
Share your experience
Write or update your review
Explain what worked, what broke down, and what another team should know before adopting CTAI.
Project Q&A
Questions and answers
Browse implementation threads tied directly to xming521/CTAI. Each question links through to the full answer page.
Be the first to ask how teams run CTAI in production. Every question you post becomes a durable, searchable answer page other developers can find.
Ask the first questionRelated posts
Posts tagged with the same topics
These posts come from the same topic surface as this repo, so readers can move from project evaluation into practical writeups and migration notes without leaving context.
Share how your team uses CTAI — a migration note, an architecture writeup, or a comparison. Your post reaches everyone browsing these same topics.
Write the first post