… studies published so far that employ DL in radiation oncology. By ordering these studies by
entity, … to gain an overview on the current application of deep learning in radiation oncology. …

… errors, leading to fewer radiation-induced complications as a … on deep learning for
segmentation of radiation targets and … on the use of deep learning for medical image analysis …

… Summary: In this work, we examine how deep learning, a rapidly emerging subset … radiation
oncology and medical physics. In addition, we examine a representative set of deep learning…

… Deep-learning based auto-segmentation is a promising … of deep-learning-generated
auto-contours (AC) with manual contours (MC) was performed by three expert radiation oncologists …

… achievable radiation therapy plans for patients with HN cancer using deep learning and (2)
to … to assess the quality of HN radiation therapy. To our knowledge, this is the first study to use …

… deep learning model to automatically segment targets based on lymph node level combinations
commonly used in HNC radiation … this is the first deep learning-based autosegmentation …

… in the cohort, solutions leveraging deep learning should be the preferred method … deep
learning model that provides performances similar to simpler statistical tests or machine learning …

… -pathology and Radiation Oncology. Specifically in radiation oncology, deep learning has
shown its power in performing automatic segmentation tasks in radiation therapy for Organs-At-…

… , radiation oncologists will … in radiation oncology based on different task categories of DL
algorithms. This work clarifies the possibility of further development of DL in radiation oncology. …

… of radiation oncology by outlining each step of the clinical workflow and highlighting examples
of how AI might increase the efficiency, accuracy and quality of radiation … of deep learning …