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

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

Internet

https://www.mdpi.com/2078-2489/16/3/215
http://hdl.handle.net/20.500.11937/97316

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