Journal article
DAART: a deep learning platform for deeply accelerated adaptive radiation therapy for lung cancer
Abstract
Purpose: The study aimed to implement a novel, deeply accelerated adaptive radiation therapy (DAART) approach for lung cancer radiotherapy (RT). Lung cancer is the most common cause of cancer-related death, and RT is the preferred medically inoperable treatment for early stage non-small cell lung cancer (NSCLC). In the current lengthy workflow, it takes a median of four weeks from diagnosis to RT treatment, which can result in complete …
Authors
Hooshangnejad H; Chen Q; Feng X; Zhang R; Farjam R; Voong KR; Hales RK; Du Y; Jia X; Ding K
Journal
Frontiers in Oncology, Vol. 13, ,
Publisher
Frontiers
DOI
10.3389/fonc.2023.1201679
ISSN
2234-943X