[1]王伟华.基于图像信息的带状疱疹发展程度远程诊断判识方法[J].医学信息,2025,38(03):21-25.[doi:10.3969/j.issn.1006-1959.2025.03.004]
　WANG Weihua.Remote Diagnosis and Identification Method of Herpes Disease Based on Image Information[J].Journal of Medical Information,2025,38(03):21-25.[doi:10.3969/j.issn.1006-1959.2025.03.004]
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基于图像信息的带状疱疹发展程度远程诊断判识方法()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
38卷
期数:
2025年03期
页码:
21-25
栏目:
临床信息学
出版日期:
2025-02-01

文章信息/Info

Title:
Remote Diagnosis and Identification Method of Herpes Disease Based on Image Information
文章编号:
1006-1959（2025）03-0021-05
作者:
王伟华
北京交通大学校医院皮肤科，北京 100044
Author(s):
WANG Weihua
Department of Dermatology, University Hospital of Beijing Jiaotong University, Beijing 100044, China
关键词:
带状疱疹; 图像信息; 远程诊断; 判识方法; 医学影像技术
Keywords:
Herpes zoster;  Image information;  Remote diagnosis;  Identification method;  Medical imaging technology
分类号:
R752.1+2
DOI:
10.3969/j.issn.1006-1959.2025.03.004
文献标志码:
A
摘要:
随着远程医疗技术的不断发展，基于图像信息的疾病诊断方法日益受到关注。本文提出了一种基于YOLO模型的带状疱疹疾病发展程度远程诊断判识方法。该方法将带状疱疹病情分为轻度、中度和重度三个等级，利用图像处理和分析算法对患者自行拍摄的皮肤或黏膜部位图像进行特征提取和分析，结合深度学习模型进行带状疱疹病情的自动识别和评估。实际应用中，通过患者自行拍摄带状疱疹病变图像，利用已嵌入的图像处理和深度学习程序，可实现对带状疱疹病变的自动检测和程度判断。本方法准确性较高，能够有效辅助医生进行远程诊断，为患者提供便捷的诊疗服务。
Abstract:
With the continuous development of telemedicine technology, disease diagnosis methods based on image information have attracted more and more attention. In this paper, a remote diagnosis and identification method for the development degree of herpes zoster based on YOLO model is proposed. The herpes zoster is divided into three grades: mild, moderate and severe. The image processing and analysis algorithm is used to extract and analyze the features of the skin or mucosal images taken by the patients themselves, and the deep learning model is used to automatically identify and evaluate the herpes zoster disease. In practical applications, by taking images of herpes zoster lesions by patients themselves, using embedded image processing and deep learning programs, automatic detection and degree judgment of herpes zoster lesions can be realized. This method has high accuracy and can effectively assist doctors in remote diagnosis and provide convenient diagnosis and treatment services for patients.

参考文献/References:

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更新日期/Last Update: 1900-01-01