Machine Learning in Microwave Medical Imaging and Lesion Detection.
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| Název: | Machine Learning in Microwave Medical Imaging and Lesion Detection. |
|---|---|
| Autoři: | Shao, Wenyi |
| Zdroj: | Diagnostics (2075-4418); Apr2025, Vol. 15 Issue 8, p986, 16p |
| Témata: | MACHINE learning, MICROWAVE imaging, DEEP learning, COMPUTER-assisted image analysis (Medicine), DIAGNOSTIC imaging |
| Abstrakt: | Machine learning (ML) techniques have attracted many microwave researchers and engineers for their potential to improve performance in microwave- and millimeter-wave-based medical applications. This paper reviews ML algorithms, data acquisition, training techniques, and applications that have emerged in recent years. It also reviews state-of-the-art ML techniques applied for the detection of various organ diseases with microwave signals, achieving more successful results than using traditional methods alone, such as a higher diagnosis accuracy or spatial resolution and significantly improved efficiency. Challenges and the outlook of using ML in future microwave medical applications are also discussed. [ABSTRACT FROM AUTHOR] |
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| Databáze: | Biomedical Index |
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