A Fully Automated Post-Surgical Brain Tumor Segmentation Model for Radiation Treatment Planning and Longitudinal Tracking.

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作者： Karthik K,Ramesh ^[1] ; Karen M,Xu ^[2] ; Anuradha G,Trivedi ^[1] ; Vicki,Huang ^[1] ; Vahid Khalilzad,Sharghi ^[2] ; Lawrence R,Kleinberg ^[1] ; Eric A,Mellon ^[2] ; Hui-Kuo G,Shu ^[3] ; Hyunsuk,Shim ^[4] ; Brent D,Weinberg ^[5]

作者单位： Department of Radiation Oncology, Emory University School of Medicine, Atlanta, GA 30322, USA. ^[1] Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30332, USA. ^[2] Siemens Healthineers, Atlanta, GA 30329, USA. ^[3] Department of Radiation Oncology, Johns Hopkins University, Baltimore, MD 21218, USA. ^[4] Department of Radiation Oncology, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL 45056, USA. ^[5] Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA 30322, USA. ^[6] Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA 30322, USA. ^[7]

关键词 deep learning glioblastoma longitudinal tracking radiation treatment segmentation

DOI 10.3390/cancers15153956

PMID 37568773

发布时间 2023-08-15

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