Evaluating the Use of Machine Learning to Predict Expert-Driven Pareto-Navigated Calibrations for Pe...
Evaluating the Use of Machine Learning to Predict Expert-Driven Pareto-Navigated Calibrations for Personalised Automated Radiotherapy Planning
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
Automated planning (AP) uses common protocols for all patients within a cancer site. This work investigated using machine learning to personalise AP protocols for fully individualised planning. A ‘Pareto guided automated planning’ (PGAP) solution was used to generate patient-specific AP protocols and gold standard Pareto navigated reference plans (...
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Full title
Evaluating the Use of Machine Learning to Predict Expert-Driven Pareto-Navigated Calibrations for Personalised Automated Radiotherapy Planning
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TN_cdi_doaj_primary_oai_doaj_org_article_302a74c073b64141bd1e4356edd2191d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_302a74c073b64141bd1e4356edd2191d
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app13074548
