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Automatic modeling of pectus excavatum corrective prosthesis using artificial neural networks.

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Bibliographic Details
Title: Automatic modeling of pectus excavatum corrective prosthesis using artificial neural networks.
Authors: Rodrigues PL; ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães, Portugal; Algoritmi Center, School of Engineering, University of Minho, Guimarães, Portugal; DIGARC-Polytechnic Institute of Cávado and Ave, Barcelos, Portugal. Electronic address: pedrorodrigues@ecsaude.uminho.pt., Rodrigues NF; ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães, Portugal; DIGARC-Polytechnic Institute of Cávado and Ave, Barcelos, Portugal; HASLab/INESC TEC, University of Minho, Braga, Portugal., Pinho AC; Mechanical Department, University of Minho, Guimarães, Portugal., Fonseca JC; Algoritmi Center, School of Engineering, University of Minho, Guimarães, Portugal., Correia-Pinto J; ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães, Portugal., Vilaça JL; ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães, Portugal; DIGARC-Polytechnic Institute of Cávado and Ave, Barcelos, Portugal.
Source: Medical engineering & physics [Med Eng Phys] 2014 Oct; Vol. 36 (10), pp. 1338-45. Date of Electronic Publication: 2014 Jul 26.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Butterworth-Heinemann Country of Publication: England NLM ID: 9422753 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4030 (Electronic) Linking ISSN: 13504533 NLM ISO Abbreviation: Med Eng Phys Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-4030
DOI:10.1016/j.medengphy.2014.06.020