NRG Oncology Assessment of Artificial Intelligence Deep Learning-Based Auto-segmentation for Radiation Therapy: Current Developments, Clinical Considerations, and Future Directions.

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Bibliographic Details
Title: NRG Oncology Assessment of Artificial Intelligence Deep Learning-Based Auto-segmentation for Radiation Therapy: Current Developments, Clinical Considerations, and Future Directions.
Authors: Rong Y; Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona. Electronic address: rong.yi@mayo.edu., Chen Q; Department of Radiation Oncology, City of Hope Comprehensive Cancer Center, Duarte, California., Fu Y; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, Commack, New York., Yang X; Department of Radiation Oncology, Emory University, Atlanta, Georgia., Al-Hallaq HA; Department of Radiation Oncology, University of Chicago Comprehensive Cancer Center, Chicago, Illinois., Wu QJ; Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina., Yuan L; Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia., Xiao Y; Department of Radiation Oncology, University of Pennsylvania/Abramson Cancer Center, Philadelphia, Pennsylvania., Cai B; Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas., Latifi K; Department of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida., Benedict SH; Department of Radiation Oncology, University of California Davis Comprehensive Cancer Center, Sacramento, California., Buchsbaum JC; National Cancer Institute, Bethesda, Maryland., Qi XS; Department of Radiation Oncology, University of California-Los Angeles, Los Angeles, California.
Source: International journal of radiation oncology, biology, physics [Int J Radiat Oncol Biol Phys] 2024 May 01; Vol. 119 (1), pp. 261-280. Date of Electronic Publication: 2023 Nov 14.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Elsevier, Inc Country of Publication: United States NLM ID: 7603616 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-355X (Electronic) Linking ISSN: 03603016 NLM ISO Abbreviation: Int J Radiat Oncol Biol Phys Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-355X
DOI:10.1016/j.ijrobp.2023.10.033