Automated Identification of Infarcted Myocardium Tissue Characterization Using Ultrasound Images: A Review

IEEE Reviews in Biomedical Engineering

Volumn 8, Issue , 2015, Pages 86-97

  Sudarshan, Vidya ^a   Acharya, U Rajendra ^b,c   Ng, Eddie Yin Kwee ^a   Meng, Chou Siaw ^a   Tan, Ru San ^d   Ghista, Dhanjoo N ^e  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^c UNIVERSITY OF MALAYA   (Malaysia)

^d DEPARTMENT OF CARDIOLOGY   (Singapore)

^e FRAMINGHAM STATE UNIVERSITY   (United States)

Author keywords

Datamining; heart; image; myocardial infarction; plaque; texture; ultrasound

Indexed keywords

CARDIOLOGY; DAMAGE DETECTION; DATA MINING; DIAGNOSIS; ECHOCARDIOGRAPHY; MUSCLE; PATTERN RECOGNITION; TEXTURES; ULTRASONIC APPLICATIONS; ULTRASONICS;

ACUTE MYOCARDIAL INFARCTION; AUTOMATED IDENTIFICATION; COMPUTER AIDED DIAGNOSTICS; IMAGE; INTEROBSERVER VARIABILITY; MYOCARDIAL INFARCTION; PATTERN RECOGNITION ALGORITHMS; PLAQUE;

HEART;

AUTOMATION; CARDIAC IMAGING; CLASSIFIER; CLINICAL FEATURE; COMPUTER ASSISTED DIAGNOSIS; DATA MINING; DISEASE CLASSIFICATION; ECHOCARDIOGRAPHY; HEART INFARCTION; HUMAN; IMAGE PROCESSING; NONHUMAN; REVIEW; TISSUE CHARACTERIZATION; ECHOGRAPHY; FEMALE; HEART VENTRICLE; MALE; PATHOLOGY; PROCEDURES;

DATA MINING; FEMALE; HEART VENTRICLES; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MYOCARDIAL INFARCTION;

EID: 84940040825     PISSN: 19373333     EISSN: 19411189     Source Type: Journal    
DOI: 10.1109/RBME.2014.2319854     Document Type: Review

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