MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment

Cardiovascular diseases (CVD) cause 19 million fatalities each year and cost nations billions of dollars. Surrogate biomarkers are established methods for CVD risk stratification; however, manual inspection is costly, cumbersome, and error-prone. The contemporary artificial intelligence (AI) tools f...

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Veröffentlicht in:	Computerized medical imaging and graphics 2024-10, Vol.117, p.102437, Article 102437
Hauptverfasser:	Biswas, Mainak, Saba, Luca, Kalra, Mannudeep, Singh, Rajesh, Fernandes e Fernandes, J., Viswanathan, Vijay, Laird, John R., Mantella, Laura E., Johri, Amer M., Fouda, Mostafa M., Suri, Jasjit S.
Format:	Artikel
Sprache:	eng
Schlagworte:	AtheroEdge Attention-based deep learning Common carotid artery Stenosis Ultrasound
Online-Zugang:	Volltext
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