Explainable one-class feature extraction by adaptive resonance for anomaly detection in quality assurance.

Explainable one-class feature extraction by adaptive resonance for anomaly detection in quality assurance.

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In this study, we address the inherent challenges in radiotherapy (RT) plan quality assessment (QA). RT, a prevalent cancer treatment, utilizes high-energy beams to target tumors while sparing adjacent healthy tissues. Typically, an RT plan is refined through several QA cycles by experts to ensure i...

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Bibliographic Details
Main Authors: Hootan Kamran, Dionne Aleman, Chris McIntosh, Tom Purdie
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0321968
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