Clinical Evaluation of Deep Learning and Atlas-Based Auto-Contouring for Head and Neck Radiation Therapy

Clinical Evaluation of Deep Learning and Atlas-Based Auto-Contouring for Head and Neck Radiation Therapy

Various commercial auto-contouring solutions have emerged over past few years to address labor-intensiveness, and inter- and intra-operator variabilities issues of traditional manual anatomy contouring for head and neck (H&N) radiation therapy (RT). The purpose of this study is to compare the cl...

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Bibliographic Details
Main Authors: Ng, Curtise, Leung, Vincent WS, Hung, Rico HM
Other Authors: Huang, Yujie
Format: Journal Article
Published: MDPI AG 2022
Subjects:
Artificial Intelligence
Automation
Computed Tomography
Image Segmentation
Intensity-Modulated Radiation Therapy
Machine Learning
Nasopharyngeal Cancer
Organs at Risk
Radiotherapy
Volumetric Arc Therapy
Online Access:http://hdl.handle.net/20.500.11937/89669

Internet

http://hdl.handle.net/20.500.11937/89669

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