Impact of Interobserver Variability in Manual Segmentation of Non-Small Cell Lung Cancer (NSCLC) Applying Low-Rank Radiomic Representation on Computed Tomography.

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作者： Michelle,Hershman ^[1] ; Bardia,Yousefi ^[1] ; Lacey,Serletti ^[2] ; Maya,Galperin-Aizenberg ^[3] ; Leonid,Roshkovan ^[1] ; José Marcio,Luna ^[1] ; Jeffrey C,Thompson ^[1] ; Charu,Aggarwal ^[2] ; Erica L,Carpenter ^[4] ; Despina,Kontos ^[5] ; Sharyn I,Katz ^[5]

作者单位： Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA. ^[1] Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA 19104, USA. ^[2] Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. ^[3] Section of Interventional Pulmonology, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. ^[4] Division of Hematology and Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. ^[5]

关键词 computed tomography (CT)interobserver variability non-small cell lung cancer radiomics

DOI 10.3390/cancers13235985

PMID 34885094

发布时间 2022-07-16

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