Supervised deep learning-based synthetic computed tomography from kilovoltage cone-beam computed tomography images for adaptive radiation therapy in head and neck cancer.

Autor: Khamfongkhruea C; Medical Physics Program, Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok, Thailand.; Department of Radiation Oncology, Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok, Thailand., Prakarnpilas T; Medical Physics Program, Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok, Thailand., Thongsawad S; Medical Physics Program, Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok, Thailand.; Department of Radiation Oncology, Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok, Thailand., Deeharing A; Department of Radiation Oncology, Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok, Thailand., Chanpanya T; Department of Radiation Oncology, Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok, Thailand., Mundee T; Department of Radiation Oncology, Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok, Thailand., Suwanbut P; Department of Radiation Oncology, Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok, Thailand., Nimjaroen K; Medical Physics Program, Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok, Thailand.; Department of Radiation Oncology, Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok, Thailand.

Publikováno v: Radiation oncology journal [Radiat Oncol J] 2024 Sep; Vol. 42 (3), pp. 181-191. Date of Electronic Publication: 2024 May 30.