The dosimetric impacts of ct-based deep learning autocontouring algorithm for prostate cancer radiotherapy planning dosimetric accuracy of DirectORGANS

The dosimetric impacts of ct-based deep learning autocontouring algorithm for prostate cancer radiotherapy planning dosimetric accuracy of DirectORGANS

Abstract Purpose In study, we aimed to dosimetrically evaluate the usability of a new generation autocontouring algorithm (DirectORGANS) that automatically identifies organs and contours them directly in the computed tomography (CT) simulator before creating prostate radiotherapy plans. Methods The...

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Bibliographic Details
Main Authors: Serap Çatlı Dinç, Aybala Nur Üçgül, Hüseyin Bora, Ertuğrul Şentürk
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Urology
Subjects:
Prostate cancer
Radiotherapy
Deep learning
Autocontouring
Treatment planning
DirectORGANS algorithm
Online Access:https://doi.org/10.1186/s12894-025-01875-8
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https://doi.org/10.1186/s12894-025-01875-8

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