Current methods in electrocardiogram characterization
The Electrocardiogram (ECG) is the P-QRS-T wave depicting the cardiac activity of the heart.
The subtle changes in the electric potential patterns of repolarization and depolarization are …
The subtle changes in the electric potential patterns of repolarization and depolarization are …
[HTML][HTML] Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: A narrative review for stroke application
Cardiovascular disease (CVD) is one of the leading causes of morbidity and mortality in the
United States of America and globally. Carotid arterial plaque, a cause and also a marker of …
United States of America and globally. Carotid arterial plaque, a cause and also a marker of …
Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm
Motivation Brain or central nervous system cancer is the tenth leading cause of death in men
and women. Even though brain tumour is not considered as the primary cause of mortality …
and women. Even though brain tumour is not considered as the primary cause of mortality …
A hybrid data mining model to predict coronary artery disease cases using non-invasive clinical data
L Verma, S Srivastava, PC Negi - Journal of medical systems, 2016 - Springer
Coronary artery disease (CAD) is caused by atherosclerosis in coronary arteries and results
in cardiac arrest and heart attack. For diagnosis of CAD, angiography is used which is a …
in cardiac arrest and heart attack. For diagnosis of CAD, angiography is used which is a …
Stacked deep polynomial network based representation learning for tumor classification with small ultrasound image dataset
Ultrasound imaging has been widely used for tumor detection and diagnosis. In ultrasound
based computer-aided diagnosis, feature representation is a crucial step. In recent years …
based computer-aided diagnosis, feature representation is a crucial step. In recent years …
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated …
Abstract Background and Purpose Atherosclerotic plaque tissue rupture is one of the
leading causes of strokes. Early carotid plaque monitoring can help reduce cardiovascular …
leading causes of strokes. Early carotid plaque monitoring can help reduce cardiovascular …
A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework
SS Skandha, A Nicolaides, SK Gupta… - Computers in biology …, 2022 - Elsevier
Background Early and automated detection of carotid plaques prevents strokes, which are
the second leading cause of death worldwide according to the World Health Organization …
the second leading cause of death worldwide according to the World Health Organization …
Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: a neuro-oncological investigation
Abstract Background The O6-methylguanine-DNA methyltransferase (MGMT) is a
deoxyribonucleic acid (DNA) repairing enzyme that has been established as an essential …
deoxyribonucleic acid (DNA) repairing enzyme that has been established as an essential …
Automated localization and segmentation techniques for B-mode ultrasound images: A review
B-mode ultrasound imaging is used extensively in medicine. Hence, there is a need to have
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …
[HTML][HTML] Ten fast transfer learning models for carotid ultrasound plaque tissue characterization in augmentation framework embedded with heatmaps for stroke risk …
Background and Purpose: Only 1–2% of the internal carotid artery asymptomatic plaques
are unstable as a result of> 80% stenosis. Thus, unnecessary efforts can be saved if these …
are unstable as a result of> 80% stenosis. Thus, unnecessary efforts can be saved if these …