Early-stage atherosclerosis detection using deep learning over carotid ultrasound images

Applied Soft Computing Journal

Volumn 49, Issue , 2016, Pages 616-628

  Menchón Lara, Rosa María ^a   Sancho Gómez, José Luis ^a   Bueno Crespo, Andrés ^b  

^a TECHNICAL UNIVERSITY OF CARTAGENA   (Spain)

^b CATHOLIC UNIVERSITY OF MURCIA   (Spain)

Author keywords

Auto encoders; Deep learning; Extreme learning machine; Image segmentation; Intima media thickness

Indexed keywords

ABSTRACTING; ARTIFICIAL INTELLIGENCE; COMPUTER AIDED DIAGNOSIS; DIAGNOSIS; DISEASES; IMAGE SEGMENTATION; KNOWLEDGE ACQUISITION; NEURAL NETWORKS; PATHOLOGY; RISK ASSESSMENT; ULTRASONIC APPLICATIONS;

AUTO ENCODERS; AUTOMATIC SEGMENTATION TECHNIQUES; CARDIO-VASCULAR DISEASE; COMMON CAROTID ARTERY; DEEP LEARNING; EXTREME LEARNING MACHINE; INTIMA-MEDIA THICKNESS; QUANTITATIVE EVALUATION;

LEARNING SYSTEMS;

EID: 84988000506     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2016.08.055     Document Type: Article

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