Tesi etd-11162022-162832 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
BARRECA, GABRIELE
URN
etd-11162022-162832
Titolo
An intelligent web platform for severity scoring in COVID-19 lung ultrasound data
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA
Relatori
relatore Bacciu, Davide
relatore Faita, Francesco
relatore Faita, Francesco
Parole chiave
- web application
- web service
- covid-19
- lus classification
- lung ultrasound
- neural network
Data inizio appello
02/12/2022
Consultabilità
Tesi non consultabile
Riassunto
The thesis deals with the preparation of lung ultrasound clips with the aim of predicting the severity of the effects of new Covid-19 variants, based on spatiotemporal neural network models trained on the first Covid-19 variant. The thesis explores the development of a web service for experts to upload the clips and obtain an evaluation of the scores and aspects of interpretability.
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