Implementation of a Commercial Deep Learning-Based Auto Segmentation Software in Radiotherapy: Evaluation of Effectiveness and Impact on Workflow

Implementation of a Commercial Deep Learning-Based Auto Segmentation Software in Radiotherapy: Evaluation of Effectiveness and Impact on Workflow

Proper delineation of both target volumes and organs at risk is a crucial step in the radiation therapy workflow. This process is normally carried out manually by medical doctors, hence demanding timewise. To improve efficiency, auto-contouring methods have been proposed. We assessed a specific comm...

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Bibliographic Details
Main Authors: Lorenzo Radici, Silvia Ferrario, Valeria Casanova Borca, Domenico Cante, Marina Paolini, Cristina Piva, Laura Baratto, Pierfrancesco Franco, Maria Rosa La Porta
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Life
Subjects:
radiation therapy
contouring
auto segmentation
artificial intelligence
delineation
Online Access:https://www.mdpi.com/2075-1729/12/12/2088

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https://www.mdpi.com/2075-1729/12/12/2088

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