Cell Segmentation With Globally Optimized Boundaries (CSGO): A Deep Learning Pipeline for Whole-Cell Segmentation in Hematoxylin-and-Eosin-Stained Tissues.

导出 LinkOut

翻译打印收藏纠错

第一作者： Zifan,Gu

第一单位： Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas. Electronic address: zifan.gu@utsouthwestern.edu.

作者： Zifan,Gu ^[1] ; Shidan,Wang ^[2] ; Ruichen,Rong ^[2] ; Zhuo,Zhao ^[2] ; Fangjiang,Wu ^[2] ; Qin,Zhou ^[2] ; Zhuoyu,Wen ^[2] ; Zhikai,Chi ^[3] ; Yisheng,Fang ^[3] ; Yan,Peng ^[3] ; Liwei,Jia ^[3] ; Mingyi,Chen ^[3] ; Donghan M,Yang ^[2] ; Yujin,Hoshida ^[4] ; Yang,Xie ^[5] ; Guanghua,Xiao ^[6]

作者单位： Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas. Electronic address: zifan.gu@utsouthwestern.edu. ^[1] Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas. ^[2] Department of Pathology, UT Southwestern Medical Center, Dallas, Texas. ^[3] Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas. ^[4] Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas; Department of Bioinformatics, UT Southwestern Medical Center, Dallas, Texas; Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas. ^[5] Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas; Department of Bioinformatics, UT Southwestern Medical Center, Dallas, Texas; Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas. Electronic address: guanghua.xiao@utsouthwestern.edu. ^[6]

关键词 YOLO cell segmentation digital pathology

DOI 10.1016/j.labinv.2024.102184

PMID 39528162

发布时间 2024-12-19

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

浏览0

Laboratory investigation; a journal of technical methods and pathology

2024年105卷2期

102184页

相似文献

中文期刊
外文期刊
学位论文
会议论文

检索历史清除

Cell Segmentation With Globally Optimized Boundaries (CSGO): A Deep Learning Pipeline for Whole-Cell Segmentation in Hematoxylin-and-Eosin-Stained Tissues.

Laboratory investigation; a journal of technical methods and pathology

相似文献

Laboratory investigation; a journal of technical methods and pathology

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Cell Segmentation With Globally Optimized Boundaries (CSGO): A Deep Learning Pipeline for Whole-Cell Segmentation in Hematoxylin-and-Eosin-Stained Tissues.

Laboratory investigation; a journal of technical methods and pathology

相似文献

Laboratory investigation; a journal of technical methods and pathology

相关期刊

检索历史清除