A Semi-Supervised Approach Combining Image and Frequency Enhancement for Echocardiography Segmentation

Segmentation of internal structures in echocardiography enables quantitative measurements of the cardiac size, shape, and function, thereby facilitating automated diagnosis and treatment planning. Semi-supervised learning alleviates the demand for large amounts of annotations in deep learning. The e...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.92549-92559
Hauptverfasser:	Ding, Jiajun, Han, Xiaoxiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Data augmentation Data models Deep learning Echocardiography frequency domain Frequency domain analysis Image enhancement Image segmentation Interpolation Perturbation Perturbation methods Pixels semantic segmentation Semi-supervised learning Semisupervised learning
Online-Zugang:	Volltext
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