Nel seguente lavoro viene presentata una rassegna dello stato dell'arte nella visione artificiale di immagini mediche, con particolare riferimento alle immagini di risonanza magnetica e tomografia assiale computerizzata. Seguendo la classica suddivisione corrispondente ai livelli di elaborazione numerico, simbolico e semantico (basso, medio e alto livello), vengono introdotte le metodologie su cui si basano i processi usualmente utilizzati nelle immagini mediche. In particolare sono brevemente introdotti la valutazione della qualità delle immagini acquisite, il miglioramento di alcuni aspetti come il contrasto e l'analisi quantitativa dei parametri, tenendo in considerazione il loro normale inserimento in sistemi di riconoscimento ad architettura complessa. Viene infine presentata la nuova metodologia della fusione dati, applicata ai vari livelli di elaborazione, ai fini dell'integrazione di varie tecniche di acquisizione sulla stes-sa realtà anatomica.
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