DIVE-ART: A tool to guide clinicians towards dosimetrically informed volume editions of automatically segmented volumes in adaptive radiation therapy-Reference-Cited by-同舟云学术

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DIVE-ART: A tool to guide clinicians towards dosimetrically informed volume editions of automatically segmented volumes in adaptive radiation therapy

Published:2024-03 Issue: Volume:192 Page:110108
ISSN:0167-8140
Container-title:Radiotherapy and Oncology
language:en
Short-container-title:Radiotherapy and Oncology

Author:

Roberfroid Benjamin^ORCID,Lee John A.,Geets Xavier,Sterpin Edmond^ORCID,Barragán-Montero Ana M.^ORCID

Publisher

Elsevier BV

Reference42 articles.

1. Clinical implementation of deep learning contour autosegmentation for prostate radiotherapy;Cha;Radiother Oncol,2021

2. Benefits of deep learning for delineation of organs at risk in head and neck cancer;Van der Veen;Radiother Oncol,2019

3. A review of deep learning based methods for medical image multi-organ segmentation;Fu;Phys Med,2021

4. U-net: Convolutional networks for biomedical image segmentation;Ronneberger,2015

5. Clinical implementation of artificial intelligence-driven cone-beam computed tomography-guided online adaptive radiotherapy in the pelvic region;Sibolt;Phys Imaging Radiat Oncol,2021

Cited by 1 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. Autodelineation methods in a simulated fully automated proton therapy workflow for esophageal cancer;Physics and Imaging in Radiation Oncology;2024-09

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