Automated detection of vascular remodeling in tumor-draining lymph nodes by the deep-learning tool HEV-finder.

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作者： Tove,Bekkhus ^[1] ; Christophe,Avenel ^[2] ; Sabella,Hanna ^[3] ; Mathias,Franzén Boger ^[1] ; Anna,Klemm ^[1] ; Daniel Vasiliu,Bacovia ^[2] ; Fredrik,Wärnberg ^[3] ; Carolina,Wählby ^[1] ; Maria H,Ulvmar ^[4]

作者单位： The Beijer Laboratory, Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden. ^[1] Department of Information Technology, Uppsala University, Uppsala, Sweden. ^[2] BioImage Informatics Facility, SciLifeLab, Uppsala, Sweden. ^[3] Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden. ^[4]

关键词 HEV-finder artificial intelligence (AI)breast cancer deep learning high endothelial venules (HEVs)tumor-draining lymph nodes (TDLNs)vascular remodeling

主题词乳腺肿瘤(Breast Neoplasms);女(雌)性(Female);人类(Humans);淋巴结(Lymph Nodes);小静脉(Venules)

DOI 10.1002/path.5981

PMID 35696253

发布时间 2022-10-19

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