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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-11162022-162832


Tipo di tesi
Tesi di laurea magistrale
URN
etd-11162022-162832
Titolo
An intelligent web platform for severity scoring in COVID-19 lung ultrasound data
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA
Parole chiave
  • covid-19
  • lung ultrasound
  • lus classification
  • neural network
  • web application
  • web service
Data inizio appello
02/12/2022
Consultabilità
Tesi non consultabile
Riassunto (Inglese)
Riassunto (Italiano)
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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