A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework.

Skandha, Sanagala S; Nicolaides, Andrew; Gupta, Suneet K; Koppula, Vijaya K; Saba, Luca; Johri, Amer M; Kalra, Manudeep S; Suri, Jasjit S

Skandha, Sanagala S; Nicolaides, Andrew; Gupta, Suneet K; Koppula, Vijaya K; Saba, Luca; Johri, Amer M; Kalra, Manudeep S; Suri, Jasjit S.

Afiliación

Skandha SS; CSE Department, CMR College of Engineering & Technology, Hyderabad, India; CSE Department, Bennett University, Greater Noida, UP, India.
Nicolaides A; Vascular Screening and Diagnostic Centre, University of Nicosia, Nicosia, Cyprus.
Gupta SK; CSE Department, Bennett University, Greater Noida, UP, India.
Koppula VK; CSE Department, CMR College of Engineering & Technology, Hyderabad, India.
Saba L; Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), Cagliari, Italy.
Johri AM; Department of Medicine, Division of Cardiology, Queen's University, Kingston, Ontario, Canada.
Kalra MS; Department of Radiology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, USA.
Suri JS; Stroke Diagnostic and Monitoring Division, AtheroPoint™ LLC, Roseville, CA, USA. Electronic address: jasjit.suri@atheropoint.com.

Comput Biol Med ; 141: 105131, 2022 02.

Article en En | MEDLINE | ID: mdl-34922173

Asunto(s)

Aprendizaje Profundo; Placa Aterosclerótica; Accidente Cerebrovascular; Inteligencia Artificial; Arterias Carótidas; Humanos; Placa Aterosclerótica/diagnóstico por imagen

Palabras clave

Artificial intelligence; Atheromatic™ 2.0(HDL); Carotid plaque tissue characterization; Hybrid deep learning; Machine learning; Performance; Stroke; Transfer learning

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Accidente Cerebrovascular / Placa Aterosclerótica / Aprendizaje Profundo Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2022 Tipo del documento: Article País de afiliación: India

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