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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

CSS 4.00% Python 96.00%
flask pytorch tensorrt vue

ctai's Introduction

👋 欢迎

主要技术栈

  • 😄 使用语言:Python(熟练)/TypeScript(了解)/Scala(了解)
  • 😃大数据及分布式(熟悉):Hadoop/Spark/HBase
  • 😆AI模型训练及推理(熟悉):PyTorch/TensorRT/Triton
  • 😝前后端及中间件(了解):Vue/Nuxt/FastApi/Flask/MySQL/SQLite
  • 😊CI/CD及其他:Git/Github Actions/Azure DevOps/Linux/Docker
  • 🥰云服务: 阿里云/腾讯云/Azure
  • 🤖AI生产力:GitHub Copilot/ChatGPT/New Bing

Languages and Tools:

python javascript typeScript java go

pytorch tensorflow opencv

linux docker Hadoop mysql spark git

vue echarts

ctai's People

Contributors

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ctai's Issues

运行流程

想请教一下大佬运行流程,我clone到本地,把环境配好后,有很多bug哎

询问如何运行程序?

您好,您的工作非常棒! 想要实验一下这个,请问具体的运行流程能分享一下吗?

求数据集

冒犯的问一下可以给一份数据集吗 个人学习用

数据集

哥数据集是哪个啊,能给个链接吗

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