Application of deep learning in radiation therapy for cancer

This study summarizes the commonly used and latest deep learning algorithms (including transformer, and diffusion models), introduces the workflow of different radiotherapy, and illustrates the application of different algorithms in different radiotherapy modules, as well as the defects and challenges of deep learning in the field of radiotherapy, so as to provide some help for the development of automatic radiotherapy for cancer.PMID:38519291 | DOI:10.1016/j.canrad.2023.07.015

Source: Cancer Radiotherapie - March 22, 2024 Category: Cancer & Oncology Authors: X Wen C Zhao B Zhao M Yuan J Chang W Liu J Meng L Shi S Yang J Zeng Y Yang Source Type: research