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Machine learning for predicting accuracy of lung and liver tumor motion tracking using radiomic features
BACKGROUND: Internal tumor motion is commonly predicted using external respiratory signals. However, the internal/external correlation is complex and patient-specific. The purpose of this study was to develop various models based on the radiomic features of computed tomography (CT) images to predict...
Autors principals: | , , , , , , , , , |
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Format: | Online Article Text |
Idioma: | English |
Publicat: |
AME Publishing Company
2023
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Matèries: | |
Accés en línia: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006135/ https://www.ncbi.nlm.nih.gov/pubmed/36915317 http://dx.doi.org/10.21037/qims-22-621 |