Recent Advances in Machine Learning Applied to Ultrasound Imaging
Machine learning (ML) methods are pervading an increasing number of fields of application because of their capacity to effectively solve a wide variety of challenging problems. The employment of ML techniques in ultrasound imaging applications started several years ago but the scientific interest in...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/11/11/1800 |
| _version_ | 1797493630511874048 |
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| author | Monica Micucci Antonio Iula |
| author_facet | Monica Micucci Antonio Iula |
| author_sort | Monica Micucci |
| collection | DOAJ |
| description | Machine learning (ML) methods are pervading an increasing number of fields of application because of their capacity to effectively solve a wide variety of challenging problems. The employment of ML techniques in ultrasound imaging applications started several years ago but the scientific interest in this issue has increased exponentially in the last few years. The present work reviews the most recent (2019 onwards) implementations of machine learning techniques for two of the most popular ultrasound imaging fields, medical diagnostics and non-destructive evaluation. The former, which covers the major part of the review, was analyzed by classifying studies according to the human organ investigated and the methodology (e.g., detection, segmentation, and/or classification) adopted, while for the latter, some solutions to the detection/classification of material defects or particular patterns are reported. Finally, the main merits of machine learning that emerged from the study analysis are summarized and discussed. |
| first_indexed | 2024-03-10T01:22:47Z |
| format | Article |
| id | doaj.art-4a1cc9f0917e43e0a2e35605088e18c3 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T01:22:47Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-4a1cc9f0917e43e0a2e35605088e18c32023-11-23T13:56:07ZengMDPI AGElectronics2079-92922022-06-011111180010.3390/electronics11111800Recent Advances in Machine Learning Applied to Ultrasound ImagingMonica Micucci0Antonio Iula1School of Engineering, University of Basilicata, 85100 Potenza, ItalySchool of Engineering, University of Basilicata, 85100 Potenza, ItalyMachine learning (ML) methods are pervading an increasing number of fields of application because of their capacity to effectively solve a wide variety of challenging problems. The employment of ML techniques in ultrasound imaging applications started several years ago but the scientific interest in this issue has increased exponentially in the last few years. The present work reviews the most recent (2019 onwards) implementations of machine learning techniques for two of the most popular ultrasound imaging fields, medical diagnostics and non-destructive evaluation. The former, which covers the major part of the review, was analyzed by classifying studies according to the human organ investigated and the methodology (e.g., detection, segmentation, and/or classification) adopted, while for the latter, some solutions to the detection/classification of material defects or particular patterns are reported. Finally, the main merits of machine learning that emerged from the study analysis are summarized and discussed.https://www.mdpi.com/2079-9292/11/11/1800machine learningdeep learningultrasound imagingmedical diagnosticsNDE |
| spellingShingle | Monica Micucci Antonio Iula Recent Advances in Machine Learning Applied to Ultrasound Imaging Electronics machine learning deep learning ultrasound imaging medical diagnostics NDE |
| title | Recent Advances in Machine Learning Applied to Ultrasound Imaging |
| title_full | Recent Advances in Machine Learning Applied to Ultrasound Imaging |
| title_fullStr | Recent Advances in Machine Learning Applied to Ultrasound Imaging |
| title_full_unstemmed | Recent Advances in Machine Learning Applied to Ultrasound Imaging |
| title_short | Recent Advances in Machine Learning Applied to Ultrasound Imaging |
| title_sort | recent advances in machine learning applied to ultrasound imaging |
| topic | machine learning deep learning ultrasound imaging medical diagnostics NDE |
| url | https://www.mdpi.com/2079-9292/11/11/1800 |
| work_keys_str_mv | AT monicamicucci recentadvancesinmachinelearningappliedtoultrasoundimaging AT antonioiula recentadvancesinmachinelearningappliedtoultrasoundimaging |