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A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning

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A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning

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Lorente, D.; Martínez-Martínez, F.; Rupérez Moreno, MJ.; Lago, MA.; Martínez-Sober, M.; Escandell-Montero, P.; Martínez-Martínez, JM.... (2017). A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning. Expert Systems with Applications. 71:342-357. doi:10.1016/j.eswa.2016.11.037

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/84603

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Title: A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials
Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
Progress in biomechanical modelling of human soft tissue is the basis for the development of new clinical applications capable of improving the diagnosis and treatment of some diseases (e.g. cancer), as well as the surgical ...[+]
Subjects: Soft tissue deformation , Biomechanical behaviour , Liver , Machine learning , Tree-based regression
Copyrigths: Reserva de todos los derechos
Source:
Expert Systems with Applications. (issn: 0957-4174 ) (eissn: 1873-6793 )
DOI: 10.1016/j.eswa.2016.11.037
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.eswa.2016.11.037
Thanks:
This work has been funded by the Spanish Ministry of Economy and Competitiveness (MINECO) through research projects TIN2014-52033-R and DPI2013-40859-R, both also supported by European FEDER funds. The authors acknowledge ...[+]
Type: Artículo

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