Machine Learning (ML) is a powerful paradigm to solve several inverse problems arising in biomedical imaging with very high computational efficiency. As a matter of fact, learning-by-examples (LBE) strategies can be successfully exploited to predict the status of the domain under investigation (DoI) starting from measured data with almost real-time performance. Some recent advances of ML as applied to brain stroke detection, classification, and localization, as well as to human chest monitoring are presented. An illustrative example concerned with a novel LBE strategy for the real-time prediction of the lungs dimensions from electrical impedance tomography (EIT) measurements is given, as well.
Innovative Machine Learning Techniques for Biomedical Imaging / Salucci, Marco; Marcantonio, Davide; Li, Maokun; Oliveri, Giacomo; Rocca, Paolo; Massa, Andrea. - STAMPA. - (2019), pp. 1-3. ((Intervento presentato al convegno COMCAS 2019 tenutosi a Tel Aviv, Israel nel 4th-6th November 2019 [10.1109/COMCAS44984.2019.8958253].
Titolo: | Innovative Machine Learning Techniques for Biomedical Imaging | |
Autori: | Salucci, Marco; Marcantonio, Davide; Li, Maokun; Oliveri, Giacomo; Rocca, Paolo; Massa, Andrea | |
Autori Unitn: | ||
Titolo del volume contenente il saggio: | 2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2019 | |
Luogo di edizione: | Piscataway, NJ | |
Casa editrice: | Institute of Electrical and Electronics Engineers Inc. | |
Anno di pubblicazione: | 2019 | |
Codice identificativo Scopus: | 2-s2.0-85078879379 | |
Codice identificativo WOS: | WOS:000532490000098 | |
ISBN: | 978-1-5386-9549-4 | |
Handle: | http://hdl.handle.net/11572/255957 | |
Citazione: | Innovative Machine Learning Techniques for Biomedical Imaging / Salucci, Marco; Marcantonio, Davide; Li, Maokun; Oliveri, Giacomo; Rocca, Paolo; Massa, Andrea. - STAMPA. - (2019), pp. 1-3. ((Intervento presentato al convegno COMCAS 2019 tenutosi a Tel Aviv, Israel nel 4th-6th November 2019 [10.1109/COMCAS44984.2019.8958253]. | |
Appare nelle tipologie: | 04.1 Saggio in atti di convegno (Paper in proceedings) |
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