Automatic detection of the intima-media thickness in ultrasound images of the common carotid artery using neural networks

Medical and Biological Engineering and Computing

Volumn 52, Issue 2, 2014, Pages 169-181

  Menchón Lara, Rosa María ^a   Bastida Jumilla, María Consuelo ^a   Morales Sánchez, Juan ^a   Sancho Gómez, José Luis ^a  

^a TECHNICAL UNIVERSITY OF CARTAGENA   (Spain)

Author keywords

Atherosclerosis; Intima media thickness; Pattern recognition; Ultrasound imaging

Indexed keywords

ATHEROSCLEROSIS; B-MODE ULTRASOUND IMAGES; CARDIO-VASCULAR DISEASE; INTIMA-MEDIA THICKNESS; MULTI-LAYER PERCEPTRONS; PATTERN RECOGNITION PROBLEMS; SCALED CONJUGATE GRADIENT ALGORITHM; ULTRASOUND IMAGING;

DISEASES; NEURAL NETWORKS; PATTERN RECOGNITION; ULTRASONIC IMAGING; ULTRASONICS;

IMAGE SEGMENTATION;

ACCURACY; ALGORITHM; ARTERIAL WALL THICKNESS; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATHEROSCLEROSIS; AUTOMATED PATTERN RECOGNITION; COMMON CAROTID ARTERY; IMAGE PROCESSING; IMAGE RECONSTRUCTION; QUANTITATIVE ANALYSIS; STATISTICAL ANALYSIS; ULTRASOUND;

ADULT; AGED; ALGORITHMS; ATHEROSCLEROSIS; CAROTID ARTERY, COMMON; CAROTID INTIMA-MEDIA THICKNESS; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER);

EID: 84896700375     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-013-1128-4     Document Type: Article

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