Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks-Reference-Cited by-同舟云学术

Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks

Published:2018-11-07 Issue:21 Volume:63 Page:215026
ISSN:1361-6560
Container-title:Physics in Medicine & Biology
language:
Short-container-title:Phys. Med. Biol.

Author:

Cardenas Carlos E^ORCID,Anderson Brian M,Aristophanous Michalis,Yang Jinzhong^ORCID,Rhee Dong Joo,McCarroll Rachel E^ORCID,Mohamed Abdallah S R,Kamal Mona,Elgohari Baher A^ORCID,Elhalawani Hesham M,Fuller Clifton D,Rao Arvind,Garden Adam S,Court Laurence E

Funder

National Institutes of Health

Publisher

IOP Publishing

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://iopscience.iop.org/article/10.1088/1361-6560/aae8a9/pdf

Reference35 articles.

1. CTV Guidance for Head and Neck Cancers

2. Importance of Radiation Oncologist Experience Among Patients With Head-and-Neck Cancer Treated With Intensity-Modulated Radiation Therapy

3. Defining the tumour and target volumes for radiotherapy

4. Prospective Qualitative and Quantitative Analysis of Real-Time Peer Review Quality Assurance Rounds Incorporating Direct Physical Examination for Head and Neck Cancer Radiation Therapy

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