[1]孙涛,王书浩,王伟.边缘计算在病理图像识别方向的应用[J].中国医学物理学杂志,2025,42(3):328-335.[doi:10.3969/j.issn.1005-202X.2025.03.008]
 SUN Tao,WANG Shuhao,WANG Wei.Application of edge computing in pathological image recognition[J].Chinese Journal of Medical Physics,2025,42(3):328-335.[doi:10.3969/j.issn.1005-202X.2025.03.008]
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边缘计算在病理图像识别方向的应用()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
42
期数:
2025年第3期
页码:
328-335
栏目:
医学影像物理
出版日期:
2025-03-20

文章信息/Info

Title:
Application of edge computing in pathological image recognition
文章编号:
1005-202X(2025)03-0328-08
作者:
孙涛 1王书浩 2王伟 2
1. 北京交通大学计算机与信息技术学院,北京 100080;2. 北京透彻未来科技有限公司透彻实验室,北京 100080
Author(s):
SUN Tao1 WANG Shuhao2 WANG Wei2
1. School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100080, China; 2. Thorough Lab, Beijing Thorough Future Technology Co., Ltd, Beijing 100080, China
关键词:
边缘计算病理图像深度学习
Keywords:
edge computing pathological image deep learning
分类号:
R318TP3-05
DOI:
10.3969/j.issn.1005-202X.2025.03.008
文献标志码:
A
摘要:
病理图像是医学图像的重要组成部分,对于癌症等疾病的早期诊断至关重要。本文提出一种对医学病理图像进行 识别分析的边缘推理解决方案,将边缘计算引入病理图像的研究方向,旨在利用边缘计算的优势,结合深度学习方法,实 现实时的病理图像检测。实验结果表明,此方案的应用可以极大地保护患者隐私、提高病例图像处理的效率和实时性,并 节省成本,具有很高的实际应用价值,可为医学诊断和治疗提供更快速和更准确的支持。
Abstract:
Pathology images, being an essential part of medical imaging, are critical for early diagnosis of diseases such as cancer. The study introduces edge computing into pathology image research, and presents an edge inference solution for medical pathological image recognition and analysis, aiming to leverage the advantages of edge computing and combine with deep learning methods to achieve real-time pathology image detection. Experimental results show that the solution protects patient privacy well, improves the efficiency and real time of medical image processing, and greatly reduces costs, demonstrating that it has high practical application value and can provide more and efficient accurate support for medical diagnosis and treatment.

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备注/Memo

备注/Memo:
【收稿日期】2024-10-11 【基金项目】国家自然科学基金(61901436) 【作者简介】孙 涛 ,硕 士 研 究 生 ,主 要 研 究 方 向 :计 算 机 视 觉 算 法 , E-mail: 243825727@qq.com
更新日期/Last Update: 2025-03-27