This work presents a 2‐step Learning‐by‐Examples approach for the real‐time classification of hemorrhagic/ischemic brain strokes and their successive localization from microwave scattering data collected around the human head. An experimental assessment against laboratory‐controlled data is performed to assess the potentialities of the proposed approach towards a reliable monitoring and instantaneous diagnosis clinic protocol.

Instantaneous Brain Stroke Classification and Localization from Real Scattering Data / Salucci, Marco; Gelmini, Angelo; Vrba, Jan; Merunka, Ilja; Oliveri, Giacomo; Rocca, Paolo. - In: MICROWAVE AND OPTICAL TECHNOLOGY LETTERS. - ISSN 0895-2477. - STAMPA. - 2018, 61:3(2018), pp. 805-808. [10.1002/mop.31639]

Instantaneous Brain Stroke Classification and Localization from Real Scattering Data

Salucci, Marco;Gelmini, Angelo;Oliveri, Giacomo;Rocca, Paolo
2018-01-01

Abstract

This work presents a 2‐step Learning‐by‐Examples approach for the real‐time classification of hemorrhagic/ischemic brain strokes and their successive localization from microwave scattering data collected around the human head. An experimental assessment against laboratory‐controlled data is performed to assess the potentialities of the proposed approach towards a reliable monitoring and instantaneous diagnosis clinic protocol.
2018
3
Salucci, Marco; Gelmini, Angelo; Vrba, Jan; Merunka, Ilja; Oliveri, Giacomo; Rocca, Paolo
Instantaneous Brain Stroke Classification and Localization from Real Scattering Data / Salucci, Marco; Gelmini, Angelo; Vrba, Jan; Merunka, Ilja; Oliveri, Giacomo; Rocca, Paolo. - In: MICROWAVE AND OPTICAL TECHNOLOGY LETTERS. - ISSN 0895-2477. - STAMPA. - 2018, 61:3(2018), pp. 805-808. [10.1002/mop.31639]
File in questo prodotto:
File Dimensione Formato  
Salucci_et_al-2019-Microwave_and_Optical_Technology_Letters.pdf

Solo gestori archivio

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 661.55 kB
Formato Adobe PDF
661.55 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/227761
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 31
  • ???jsp.display-item.citation.isi??? 25
  • OpenAlex ND
social impact