Performance of Commercial Deep Learning-Based Auto-Segmentation Software for Prostate Cancer Radiation Therapy Planning: A Systematic Review

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Performance of Commercial Deep Learning-Based Auto-Segmentation Software for Prostate Cancer Radiation Therapy Planning: A Systematic Review

As yet, there is no systematic review focusing on benefits and issues of commercial deep learning-based auto-segmentation (DLAS) software for prostate cancer (PCa) radiation therapy (RT) planning despite that NRG Oncology has underscored such necessity. This article’s purpose is to systematically re...

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Bibliographic Details
Main Author:	Ng, Curtise
Format:	Journal Article
Published:	MDPI 2025
Subjects:	Artificial Intelligence Artificial Neural Network Automatic Clinical Target Volumes Computed Tomography Contouring Delineation Machine Learning Organs at Risk Radiotherapy
Online Access:	https://www.mdpi.com/2078-2489/16/3/215 http://hdl.handle.net/20.500.11937/97316

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