| Tipo di tesi |
Tesi di laurea specialistica |
| Autore |
SALVETTI, FEDERICA
|
| URN |
etd-05302011-155516 |
| Titolo |
Design and comparison of Hidden Markov Models for pattern recognition of cerebral White Matter Lesions on MRI. |
| Settore scientifico disciplinare |
INGEGNERIA, FACOLTA' |
| Corso di studi |
INGEGNERIA DELLE TELECOMUNICAZIONI |
| Commissione |
| Nome Commissario |
Qualifica |
| Marco Diani |
relatore |
| Giovanni Corsini |
relatore |
| Tuan Pham |
relatore |
|
| Parole chiave |
- Hidden Markov Model
- White Matter Lesions
- MRI
- pattern recognition
|
| Data inizio appello |
2011-06-27 |
| Disponibilità |
mixed |
| Data di rilascio | 2051-06-27 |
|---|
Riassunto analitico
The research conducted in the present thesis proposes a computational neuroscience framework aiming to analyze the similarity/dissimilarity of white matter lesions (WML) patterns on FLAIR MRI, where WMLs appear hyperintense.
The study uses the concepts of Hidden Markov Model, fractals and phylogeny, which is used to discover the pattern of relationships of organisms.
The outcome of the proposed stochastic model is a tree where patients are grouped based on the relationship of their WMH patterns in term of size, shape and spatial distribution.
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index.pdf |
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Introduction.pdf |
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