首页> Medical engineering & physics> ResGloTBNet: An interpretable deep residual network with global long-range dependency for tuberculosis screening of sputum smear microscopy images.

ResGloTBNet: An interpretable deep residual network with global long-range dependency for tuberculosis screening of sputum smear microscopy images.

导出 LinkOut

翻译打印收藏纠错

第一作者： Taocui,Yan

第一单位： Medical Data Science Academy, College of Medical Informatics, Chongqing Medical University, Chongqing 400016, China.

作者： Taocui,Yan ^[1] ; Yaqian,Jin ^[2] ; Shangqing,Liu ^[1] ; Qiuni,Li ^[1] ; Guowei,Zuo ^[3] ; Ziqian,Ye ^[3] ; Jin,Li ^[4] ; Baoru,Han ^[5]

作者单位： Medical Data Science Academy, College of Medical Informatics, Chongqing Medical University, Chongqing 400016, China. ^[1] Department of Clinical Laboratory, University-Town Hospital of Chongqing Medical University, Chongqing 401331, China. ^[2] Key Laboratory of Diagnostic Medicine Designated by the Chinese Ministry of Education, Department of Laboratory Medicine, Chongqing Medical University, Chongqing 400016, China. ^[3] Department of Laboratory Medicine, Chongqing Medical University Affiliated Dazu Hospital, The People's Hospital of Dazu, Chongqing, 402360, China. Electronic address: jamly1110@163.com. ^[4] Medical Data Science Academy, College of Medical Informatics, Chongqing Medical University, Chongqing 400016, China. Electronic address: baoruhan@cqmu.edu.cn. ^[5]

关键词 Activation maximization Gradient-weighted class activation mapping ResGloRe module Sputum smear images Tuberculosis

医学主题词痰(Sputum);显微镜检查(Microscopy);结核(Tuberculosis);人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted)

DOI 10.1016/j.medengphy.2025.104300

PMID 40057359

发布时间 2025-05-12

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交