(源码)基于PythonPyTorch框架的糖尿病视网膜病变与黄斑病变诊断系统.zip

上传者: m0_62153576 | 上传时间: 2025-03-30 02:20:13 | 文件大小: 6.63MB | 文件类型: ZIP
# 基于PythonPyTorch框架的糖尿病视网膜病变与黄斑病变诊断系统 ## 项目简介 本项目是一个基于深度学习模型的图像处理系统,专门用于糖尿病视网膜病变(DR)和年龄相关性黄斑病变(AMD)的自动诊断。通过光学相干断层扫描(OCT)图像的分析,系统能够辅助医生进行疾病诊断,提高诊断效率和准确性。 ## 项目的主要特性和功能 1. 原型系统开发 使用HTML、CSS和JavaScript技术,结合Python Django框架,开发了一套用户友好的原型系统,提供医生与模型交互的界面。 系统支持图像上传、诊断结果展示和历史记录查询等功能。 2. 深度学习模型训练 使用PyTorch框架,实现了多种深度学习模型,包括ResNet、DenseNet、VGG、ResNeXt和宽ResNet等,用于图像分类任务。 模型集成了三维卷积注意力机制(TCAM),能够提取三维OCT图像的血管权重信息,提高分类准确率。

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