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Machine learning and lean six sigma for targeted patient-specific quality assurance of volumetric modulated arc therapy plans

Background and purpose: Radiotherapy plans with excessive complexity exhibit higher uncertainties and worse patient-specific quality assurance (PSQA) results, while the workload of measurement-based PSQA can impact the efficiency of the radiotherapy workflow. Machine Learning (ML) and Lean Six Sigma...

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Principais autores: Nicola Lambri, Damiano Dei, Giulia Goretti, Leonardo Crespi, Ricardo Coimbra Brioso, Marco Pelizzoli, Sara Parabicoli, Andrea Bresolin, Pasqualina Gallo, Francesco La Fauci, Francesca Lobefalo, Lucia Paganini, Giacomo Reggiori, Daniele Loiacono, Ciro Franzese, Stefano Tomatis, Marta Scorsetti, Pietro Mancosu
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2024-07-01
coleção:Physics and Imaging in Radiation Oncology
Assuntos:
Machine learning
Lean six sigma
Quality
Radiotherapy
Clinical risk management
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2405631624000873
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