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DAART: a deep learning platform for deeply...
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