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               <dc:title>Síntesi d’imatges de RM per a la millora en la segmentació de lesions d’esclerosi múltiple en imatges de ressonància magnètica.</dc:title>
               <dc:creator>Cabarrocas Salvador, Arnau</dc:creator>
               <dc:subject>Esclerosi múltiple</dc:subject>
               <dc:subject>Multiple sclerosis</dc:subject>
               <dc:subject>Ressonància magnètica</dc:subject>
               <dc:subject>Magnetic resonance</dc:subject>
               <dc:description>L’esclerosi múltiple (EM) és una malaltia neuronal crònica autoimmune, i és la causa més&#xd;
comuna de discapacitat no traumàtica en afectar als joves. El nombre d’afectats en el món&#xd;
s’estima que es troba entre 1,3 i 2,5 milions de persones. A Catalunya els afectats per la&#xd;
malaltia són més de 6.500. Aquests números estan en creixement, ja que cada any tendeixen&#xd;
en augmentar el nombre de persones afectades.&#xd;
Les tècniques convencionals de ressonància magnètica són altament sensibles en la detecció&#xd;
de plaques d’EM i poden proporcionar valors quantitatius sobre les inflamacions i lesions. En&#xd;
les imatges de ressonància magnètica, podem visualitzar aquestes lesions en forma de petites&#xd;
taques clares</dc:description>
               <dc:description>Multiple sclerosis (MS) is a chronic autoimmune neuronal disease, and is the most common cause&#xd;
common non-traumatic disability affecting young people. The number of people affected in the world&#xd;
it is estimated that there are between 1.3 and 2.5 million people. In Catalonia those affected by the&#xd;
disease are more than 6,500. These numbers are growing, as they tend every year&#xd;
by increasing the number of people affected.&#xd;
Conventional MRI techniques are highly sensitive in detection&#xd;
of MS plaques and can provide quantitative values about inflammation and injury. In&#xd;
magnetic resonance images, we can visualize these lesions in the form of small&#xd;
clear spots</dc:description>
               <dc:date>2024-05-22T11:31:42Z</dc:date>
               <dc:date>2024-05-22T11:31:42Z</dc:date>
               <dc:date>2022-09-01</dc:date>
               <dc:type>info:eu-repo/semantics/bachelorThesis</dc:type>
               <dc:identifier>http://hdl.handle.net/10256/21916</dc:identifier>
               <dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 International</dc:rights>
               <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
               <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
               <dc:source>Enginyeria en Tecnologies Industrials (TFG)</dc:source>
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