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].

Innovative Machine Learning Techniques for Biomedical Imaging

Salucci, Marco;Marcantonio, Davide;Oliveri, Giacomo;Rocca, Paolo;Massa, Andrea
2019-01-01

Abstract

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.
2019
2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2019
Piscataway, NJ
Institute of Electrical and Electronics Engineers Inc.
978-1-5386-9549-4
Salucci, Marco; Marcantonio, Davide; Li, Maokun; Oliveri, Giacomo; Rocca, Paolo; Massa, Andrea
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].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/255957
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