Migration of Deep Learning Models Across Ultrasound Scanners

A transfer function approach has recently proven effective for calibrating deep learning (DL) algorithms in quantitative ultrasound (QUS), addressing data shifts at both the acquisition and machine levels. Expanding on this approach, we develop a strategy to acquire the functionality of a DL model f...

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Veröffentlicht in:	IEEE transactions on biomedical engineering Jg. 72; H. 11; S. 3210 - 3220
Hauptverfasser:	Soylu, Ufuk, Chandrasekeran, Varun, Czarnota, Gregory J., Oelze, Michael L.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.11.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptation models Algorithms Availability Biological system modeling Black boxes Calibration Closed box data mismatch Data models Decision making Deep Learning deep model security Humans Image Processing, Computer-Assisted - methods Information processing Machine learning Mental task performance Noise measurement Scanners Security Tissue characterization transfer function Transfer functions Ultrasonic imaging Ultrasonography - instrumentation Ultrasonography - methods Ultrasound ultrasound imaging
ISSN:	0018-9294, 1558-2531, 1558-2531
Online-Zugang:	Volltext
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