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A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time

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A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time

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Martínez Martínez, F.; Rupérez Moreno, MJ.; Martínez-Sober, M.; Solves Llorens, JA.; Lorente, D.; Serrano-Lopez, A.; Martinez-Sanchis, S.... (2017). A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time. Computers in Biology and Medicine. 90:116-124. https://doi.org/10.1016/j.compbiomed.2017.09.019

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/148011

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Title: A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time
Author: Martínez Martínez, Francisco Rupérez Moreno, María José Martínez-Sober, M. Solves Llorens, Juan Antonio Lorente, D. Serrano-Lopez, A.J. Martinez-Sanchis, Sandra Monserrat, C. Martin-Guerrero, J.D.
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials
Issued date:
Abstract:
[EN] This work presents a data-driven method to simulate, in real-time, the biomechanical behavior of the breast tissues in some image-guided interventions such as biopsies or radiotherapy dose delivery as well as to speed ...[+]
Subjects: Breast biomechanics , Finite element methods , Machine learning , Modeling , Breast compression
Copyrigths: Reserva de todos los derechos
Source:
Computers in Biology and Medicine. (issn: 0010-4825 )
DOI: 10.1016/j.compbiomed.2017.09.019
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.compbiomed.2017.09.019
Project ID:
info:eu-repo/grantAgreement/MINECO//TIN2014-52033-R/ES/SIMULACION DEL COMPORTAMIENTO BIOMECANICO DEL TEJIDO BLANDO EN TIEMPO REAL MEDIANTE INTELIGENCIA COMPUTACIONAL/
info:eu-repo/grantAgreement/MINECO//DPI2013-40859-R/ES/SISTEMA DE SEGUIMIENTO DE LESIONES TUMORALES HEPATICAS MEDIANTE APROXIMACIONES BIOMECANICAS PARA DIAGNOSIS TEMPRANA Y PLANIFICACION DE TRATAMIENTO./
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 with the support of European FEDER funds.
Type: Artículo

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