Clinical acceptability of automatically generated lymph node levels and structures of deglutition and mastication for head and neck radiation therapy

Clinical acceptability of automatically generated lymph node levels and structures of deglutition and mastication for head and neck radiation therapy

Background and Purpose: Auto-contouring of complex anatomy in computed tomography (CT) scans is a highly anticipated solution to many problems in radiotherapy. In this study, artificial intelligence (AI)-based auto-contouring models were clinically validated for lymph node levels and structures of s...

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Bibliographic Details
Main Authors: Sean Maroongroge, Abdallah SR. Mohamed, Callistus Nguyen, Jean Guma De la Vega, Steven J. Frank, Adam S. Garden, Brandon G. Gunn, Anna Lee, Lauren Mayo, Amy Moreno, William H. Morrison, Jack Phan, Michael T. Spiotto, Laurence E. Court, Clifton D. Fuller, David I. Rosenthal, Tucker J. Netherton
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Deep learning
Segmentation
Chewing and swallowing structures
Lymph node levels
Radiotherapy
Contouring
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631624000101

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http://www.sciencedirect.com/science/article/pii/S2405631624000101

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