Tesi etd-02012021-130738 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
SANTO, RUGGIERO
URN
etd-02012021-130738
Titolo
Dynamic neural networks for COVID-19 severity prediction from lung ultrasound
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA
Relatori
relatore Bacciu, Davide
correlatore Faita, Francesco
correlatore Faita, Francesco
Parole chiave
- classification
- COVID
- COVID-19
- LUS
- Neural Networks
- ultrasound
- video
Data inizio appello
05/03/2021
Consultabilità
Tesi non consultabile
Riassunto
The thesis dealt with preparation and predictive analysis of lung ultrasound video with the aim of predicting severity of COVID-19 effects. The acquired videos were cleaned, organised and processed for training and benchmarking different deep learning models from the action recognition literature. The developed models were also evaluated from a clinical perspective against medical expert opinion.
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