现代信息科技2024，Vol.8Issue(9)：106-109,113,5.DOI:10.19850/j.cnki.2096-4706.2024.09.022
基于深度学习的"易诊"智能阅片系统的构建研究
Research on the Construction of an"Yizhen"Intelligent Film Reading System Based on Deep Learning
摘要
Abstract
In order to achieve early recognition and accurate diagnosis of liver hydatid disease lesions,an intelligent film reading system based on Deep Learning technology called"Yizhen"is used to develop a WeChat Mini Program to assist users in remote areas of Xinjiang in identifying liver hydatid disease lesion areas in ultrasound images of liver hydatid disease.It uses Deep Learning technologies such as Convolutional Neural Networks(CNN)to achieve the automatic analysis and diagnosis of medical image data.After testing and evaluation,this system performed excellently,and the developed WeChat Mini Program achieved mobile end medical image uploading and lesion area recognition analysis.It uses Deep Learning algorithms for image diagnosis and analysis,and real-time displays of analysis results.This WeChat Mini Program provides a convenient and easy-to-use function for uploading medical images,helping to improve the diagnostic efficiency and accuracy of liver hydatid disease in areas with weak medical conditions.关键词
微信小程序/深度学习/图像处理/智能阅片Key words
WeChat Mini Program/Deep Learning/image processing/intelligent film reading分类
信息技术与安全科学引用本文复制引用
米吾尔依提·海拉提,热娜古丽·艾合麦提尼亚孜,王正业,叶尔夏提·多力孔,严传波..基于深度学习的"易诊"智能阅片系统的构建研究[J].现代信息科技,2024,8(9):106-109,113,5.基金项目
一流本科课程建设专项经费(010302010112) （010302010112）
大学生创新创业训练计划项目(202110760006) （202110760006）
国家自然科学基金(81560294) （81560294）
新疆高发病肝包虫疾病计算机辅助诊断方法的研究(81560294) （81560294）
"ED"医学影像辅助诊断系统(CY2021010) （CY2021010）
