Auto-contouring FDG-PET/MR images for cervical cancer radiation therapy: An intelligent sequential approach using focally trained, shallow U-Nets-Reference-Cited by-同舟云学术

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Auto-contouring FDG-PET/MR images for cervical cancer radiation therapy: An intelligent sequential approach using focally trained, shallow U-Nets

Published:2021 Issue: Volume:5 Page:100026
ISSN:2666-5212
Container-title:Intelligence-Based Medicine
language:en
Short-container-title:Intelligence-Based Medicine

Author:

Baydoun Atallah,Xu Ke,Bethell Latoya A.,Zhou Feifei,Heo Jin Uk,Zhao Kaifa,Fredman Elisha T.,Ellis Rodney J.,Qian Pengjiang,Muzic Raymond F.,Traughber Bryan J.

Funder

National Cancer Institute

National Institutes of Health

Publisher

Elsevier BV

Subject

General Medicine

Reference78 articles.

1. Estimates of incidence and mortality of cervical cancer in 2018: a worldwide analysis;Arbyn;The Lancet Global Health,2020

2. Cancer statistics, 2020;Siegel;CA A Cancer J Clin,2020

3. Cervical cancer treatment (PDQ®)–Health professional version;Health NCIatNIo,2016

4. Appropriate methodology for EBRT and HDR intracavitary/interstitial brachytherapy dose composite and clinical plan evaluation for patients with cervical cancer;Xu;Practical radiation oncology,2019

5. Appropriate magnetic resonance imaging techniques for gross tumor volume delineation in external beam radiation therapy of locally advanced cervical cancer;Song;Oncotarget,2018

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1. Artificial intelligence applications in prostate cancer;Prostate Cancer and Prostatic Diseases;2023-06-09

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