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Analisi dei dati di risonanza magnetica funzionale mediante algoritmo di clustering
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ISBN10: 6208834325
ISBN13: 9786208834326
Publisher: Edizioni Sapienza
Published: Jul 11 2025
Pages: 64
Weight: 0.22
Height: 0.15 Width: 6.00 Depth: 9.00
Language: Italian
ISBN13: 9786208834326
Publisher: Edizioni Sapienza
Published: Jul 11 2025
Pages: 64
Weight: 0.22
Height: 0.15 Width: 6.00 Depth: 9.00
Language: Italian
È stato studiato l'utilizzo delle informazioni contestuali per l'analisi dei dati fMRI. L'approccio consiste in due fasi: calcolo di una mappa parametrica statistica e rilevamento dell'attivazione mediante clustering contestuale. L'algoritmo di clustering iterativo presentato in questo lavoro si basa sull'algoritmo ICM di Besag. Il nostro contributo è stato quello di applicare e valutare l'ICM nel contesto dei test di ipotesi e delle mappe parametriche statistiche. I risultati indicano che la potenza dell'algoritmo contestuale sviluppato è superiore a quella della sogliatura convenzionale voxel per voxel di una mappa parametrica statistica. Sebbene per testare l'algoritmo siano stati utilizzati dati fMRI, la costruzione dell'algoritmo è generale e può essere utilizzata per rilevare oggetti con distribuzione sconosciuta da una distribuzione di sfondo nota anche in altri problemi simili.
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