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Early Detection of Myocardial Infarction in Low-Quality Echocardiography
Aysen Degerli
, Morteza Zabihi
, Serkan Kiranyaz
, Tahir Hamid
, Rashid Mazhar
, Ridha Hamila
, Moncef Gabbouj
Not published at VTT
Tampere University
Qatar University
Hamad Medical Corporation
Research output
:
Contribution to journal
›
Article
›
Scientific
›
peer-review
80
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Citations (Scopus)
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Keyphrases
Myocardial Infarction
100%
Early Detection
100%
Echocardiography
100%
Left Ventricle
100%
Myocardial Infarction Detection
66%
Regional Wall Motion Abnormality
33%
Early Myocardial Infarction
33%
Health Problems
16%
Early Diagnosis
16%
Highly Accurate
16%
Life-threatening
16%
Echocardiographic
16%
Tissue Damage
16%
Ischemia
16%
Feature Engineering
16%
Early Treatment
16%
Heart Attack
16%
Heart Tissue
16%
Accurate Segmentation
16%
Deep Learning Model
16%
Ventricular muscle
16%
Wall Segmentation
16%
Pseudo-labeling
16%
Labeling Approach
16%
Three-phase Approach
16%
Cardiologists
16%
Wall Features
16%
INIS
detection
100%
walls
100%
myocardial infarction
100%
datasets
37%
motion
25%
sensitivity
25%
specificity
25%
output
12%
assessments
12%
engineering
12%
muscles
12%
tissues
12%
learning
12%
labelling
12%
damage
12%
people
12%
benchmarks
12%
precision
12%
death
12%
ground truth
12%
ischemia
12%
Medicine and Dentistry
Myocardial Infarction
100%
Echocardiography
100%
Left Ventricle
75%
Ischemia
12%
Heart Tissue
12%
Tissue Injury
12%
Early Diagnosis
12%
Diseases
12%
Computer Science
Deep Learning Model
100%
Early Detection
100%
Neuroscience
Myocardial Infarction
100%
Ischemia
12%
Biochemistry, Genetics and Molecular Biology
Motion
100%