Deep learning-based segmentation of prostatic urethra on computed tomography scans for treatment planning

Deep learning-based segmentation of prostatic urethra on computed tomography scans for treatment planning

Background and purpose: The intraprostatic urethra is an organ at risk in prostate cancer radiotherapy, but its segmentation in computed tomography (CT) is challenging. This work sought to: i) propose an automatic pipeline for intraprostatic urethra segmentation in CT, ii) analyze the dose to the ur...

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Bibliographic Details
Main Authors: Lucía Cubero, Laura García-Elcano, Eugenia Mylona, Adrien Boue-Rafle, Cesare Cozzarini, Maria Giulia Ubeira Gabellini, Tiziana Rancati, Claudio Fiorino, Renaud de Crevoisier, Oscar Acosta, Javier Pascau
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Prostate cancer radiotherapy
Intraprostatic urethra
Deep learning segmentation
OAR segmentation
Urinary toxicity
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631623000222

Internet

http://www.sciencedirect.com/science/article/pii/S2405631623000222

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