The feasibility of atlas-based automatic segmentation of MRI for H&N radiotherapy planning
Author:
Affiliation:
1. Department of Medicine; University of Leeds; Leeds UK
2. Department of Clinical Oncology; Leeds Teaching Hospitals; Leeds UK
3. Mirada Medical Ltd; Oxford UK
4. Department of Medical Physics and Engineering; Leeds Teaching Hospitals; Leeds UK
Publisher
Wiley
Subject
Radiology Nuclear Medicine and imaging,Instrumentation,Radiation
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1120/jacmp.v17i4.6051/fullpdf
Reference29 articles.
1. Intensity-modulated radiotherapy in the treatment of head and neck cancer;O'Sullivan;Clin Oncol (R Coll Radiol).,2012
2. Patterns of failure after intensity-modulated radiotherapy in head and neck squamous cell carcinoma using compartmental clinical target volume delineation;Bayman;Clin Oncol (R Coll Radiol).,2014
3. Human-computer interaction in radiotherapy target volume delineation: a prospective, multi-institutional comparison of user input devices;Multi-Institutional Target Delineation in Oncology Group;J Digit Imaging.,2011
4. Tumor and target delineation: current research and future challenges;Austin-Seymour;Int J Radiat Oncol Biol Phys.,1995
5. Emphasizing conformal avoidance versus target definition for IMRT planning in head-and-neck cancer;Harari;Int J Radiat Oncol Biol Phys.,2010
Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Generalizability of deep learning in organ-at-risk segmentation: A transfer learning study in cervical brachytherapy;Radiotherapy and Oncology;2024-08
2. The Use of MR-Guided Radiation Therapy for Head and Neck Cancer and Recommended Reporting Guidance;Seminars in Radiation Oncology;2024-01
3. Investigation of autosegmentation techniques on T2‐weighted MRI for off‐line dose reconstruction in MR‐linac workflow for head and neck cancers;Medical Physics;2023-07-20
4. Multi‐parametric magnetic resonance imaging for radiation treatment planning;Medical Physics;2022-03-03
5. Multi-organ auto-delineation in head-and-neck MRI for radiation therapy using regional convolutional neural network;Physics in Medicine & Biology;2022-01-21
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3