Fit of biokinetic data in molecular radiotherapy: a machine learning approach

Fit of biokinetic data in molecular radiotherapy: a machine learning approach

Abstract Background In literature are reported different analytical methods (AM) to choose the proper fit model and to fit data of the time-activity curve (TAC). On the other hand, Machine Learning algorithms (ML) are increasingly used for both classification and regression tasks. The aim of this wo...

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Bibliographic Details
Main Authors: Davide Ciucci, Bartolomeo Cassano, Salvatore Donatiello, Federica Martire, Antonio Napolitano, Claudia Polito, Elena Solfaroli Camillocci, Gianluca Cervino, Ludovica Pungitore, Claudio Altini, Maria Felicia Villani, Milena Pizzoferro, Maria Carmen Garganese, Vittorio Cannatà
Format: Article
Language:English
Published: SpringerOpen 2024-02-01
Series:EJNMMI Physics
Subjects:
Machine learning
Akaike information criterion
F-test
Fit function
Biokinetic curves
Online Access:https://doi.org/10.1186/s40658-024-00623-5

Internet

https://doi.org/10.1186/s40658-024-00623-5

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