Performance Analysis of Machine Learning and Deep Learning Architectures on Early Stroke Detection Using Carotid Artery Ultrasound Images.

Latha, S; Muthu, P; Lai, Khin Wee; Khalil, Azira; Dhanalakshmi, Samiappan

Latha, S; Muthu, P; Lai, Khin Wee; Khalil, Azira; Dhanalakshmi, Samiappan.

Affiliation

Latha S; Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, India.
Muthu P; Department of Biomedical Engineering, SRM Institute of Science and Technology, Chennai, India.
Lai KW; Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.
Khalil A; Faculty of Science and Technology, Universiti Sains Islam Malaysia, Nilai, Malaysia.
Dhanalakshmi S; Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, India.

Front Aging Neurosci ; 13: 828214, 2021.

Article de En | MEDLINE | ID: mdl-35153728

Mots clés

carotid artery; deep learning; machine learning; stroke; ultrasound image

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Diagnostic_studies Langue: En Journal: Front Aging Neurosci Année: 2021 Type de document: Article Pays d'affiliation: Inde Pays de publication: Suisse

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