Harnessing uncertainty in radiotherapy auto-segmentation quality assurance.

Autor: Wahid KA; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Sahlsten J; Department of Computer Science, Aalto University School of Science, Espoo, Finland., Jaskari J; Department of Computer Science, Aalto University School of Science, Espoo, Finland., Dohopolski MJ; Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX, USA., Kaski K; Department of Computer Science, Aalto University School of Science, Espoo, Finland., He R; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Glerean E; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland., Kann BH; Artificial Intelligence in Medicine Program, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA., Mäkitie A; Department of Otorhinolaryngology, Head and Neck Surgery, University of Helsinki and Helsinki University Hospital, Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland., Fuller CD; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Naser MA; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Fuentes D; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jazyk: angličtina
Zdroj: Physics and imaging in radiation oncology [Phys Imaging Radiat Oncol] 2023 Dec 19; Vol. 29, pp. 100526. Date of Electronic Publication: 2023 Dec 19 (Print Publication: 2024).
DOI: 10.1016/j.phro.2023.100526
Abstrakt: Competing Interests: Clifton D. Fuller has received unrelated direct industry grant/in-kind support, honoraria, and travel funding from Elekta AB.
Databáze: MEDLINE