A novel framework for MR image segmentation and quantification by using MedGA

Autor: Leonardo Rundo a, b, c, d, Andrea Tangherloni 1 a, e, f, Paolo Cazzaniga g, h, Marco S. Nobile a, Giorgio Russo b, Maria Carla Gilardi b, Salvatore Vitabile i, Giancarlo Mauri a, Daniela Besozzi a, Carmelo Militello b

Publikováno v: Computer methods and programs in biomedicine
176 (2019): 159–172. doi:10.1016/j.cmpb.2019.04.016
info:cnr-pdr/source/autori:Leonardo Rundo a,b,c,d, Andrea Tangherloni 1 a,e,f, Paolo Cazzaniga g,h, Marco S. Nobile a, h, Giorgio Russo b, Maria Carla Gilardi b, Salvatore Vitabile i, Giancarlo Mauri a,h, Daniela Besozzi a, Carmelo Militello b/titolo:A novel framework for MR image segmentation and quantification by using MedGA/doi:10.1016%2Fj.cmpb.2019.04.016/rivista:Computer methods and programs in biomedicine (Print)/anno:2019/pagina_da:159/pagina_a:172/intervallo_pagine:159–172/volume:176

BACKGROUND AND OBJECTIVES: Image segmentation represents one of the most challenging issues in medical image analysis to distinguish among different adjacent tissues in a body part. In this context, appropriate image pre-processing tools can improve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22d9a6cf11b82772b39bda24038651c4
http://hdl.handle.net/10447/366164