| 基于Django框架的卷神经算法的肺部疾病诊断系统 |
摘 要
随着医疗技术的不断发展，本文介绍了一个基于Django框架的卷积神经网络算法的肺部疾病诊断系统。系统采用Python语言开发，以Django框架作为后端支持，结合MySQL数据库进行数据存储与管理。功能丰富，包括首页展示、用户信息管理、分类信息查询、影像数据处理、疾病数据记录、疾病预测分析以及系统管理等模块。通过卷积神经网络算法对肺部影像数据进行深度学习，能够有效提高肺部疾病的诊断准确率。用户可以通过系统进行疾病数据的查询与分析，系统还提供了疾病预测功能，帮助医生提前评估患者病情。系统在提高医疗效率、降低误诊率方面，为肺部疾病的诊断提供了新的技术手段。
关键词：Python语言、Django框架、MySQL数据库、肺部疾病
Abstract
With the continuous development of medical technology, this paper introduces a convolutional neural network algorithm based on the Django framework for the diagnosis of lung diseases. The system is developed in Python language, with Django framework as the back-end support, combined with MySQL database for data storage and management. It has rich functions, including home page display, user information management, classification information query, image data processing, disease data recording, disease prediction and analysis, and system management. Deep learning of lung image data through convolutional neural network algorithm can effectively improve the diagnostic accuracy of lung diseases. Users can query and analyze disease data through the system, and the system also provides disease prediction functions to help doctors assess patients’ conditions in advance. The system provides a new technical means for the diagnosis of lung diseases in terms of improving medical efficiency and reducing the misdiagnosis rate.
Keywords: Python language, Django framework, MySQL database, lung disease
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