Gallego Bravo, Paula2024-07-292024-07-292024-07-26https://hdl.handle.net/10115/39031Trabajo Fin de Grado leído en la Universidad Rey Juan Carlos en el curso académico 2023/2024. Directores/as: Erving Ximendes, Julio Ramiro BargueñoThe main objective of this work is to develop and evaluate a method to correct motion artifacts in thermal images using U-Net, a Convolutional Neural Network architecture and to demonstrate its effectiveness to obtain accurate thermal profiles under dynamic conditions, as the ones a living organism could pose.engBIOMÉDICAINGENIERÍAINFRAROJOTERMOGRAFÍAREDES NEURONALESinfo:eu-repo/semantics/studentThesisinfo:eu-repo/semantics/embargoedAccess