Segmentation of coronary calcifications with a domain knowledge-based lightweight 3D convolutional neural network

Cardiovascular diseases are the leading cause of death in the world, with coronary artery disease being the most prevalent. Coronary artery calcifications are critical biomarkers for cardiovascular disease, and their quantification via non-contrast computed tomography is a widely accepted and heavil...

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Veröffentlicht in:	Computers in biology and medicine Jg. 196; H. Pt B; S. 110798
Hauptverfasser:	Santos, Rui, Castro, Rui, Baeza, Rúben, Nunes, Fábio, Filipe, Vítor M., Renna, Francesco, Paredes, Hugo, Fontes-Carvalho, Ricardo, Pedrosa, João
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.09.2025
Schlagworte:	3D CNN Calcinosis - diagnostic imaging Calcium scoring Cardiac CT Convolutional Neural Networks Coronary Artery Disease - diagnostic imaging Coronary calcification Coronary Vessels - diagnostic imaging Dilated convolution Female Humans Imaging, Three-Dimensional - methods Internal Medicine Lightweight Male Middle Aged Other Tomography, X-Ray Computed Vascular Calcification - diagnostic imaging 3D CNN Coronary calcification Dilated convolution Cardiac CT Lightweight Calcium scoring
ISSN:	0010-4825, 1879-0534, 1879-0534
Online-Zugang:	Volltext
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