ibrabbas7

Prof. Dr. Ibrahim A. Abbas

Professor - Department of Mathematics

Faculty of science

Address: Sohag University, Egypt.

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Publications Which contain the keyword: CAD

PON1L55M AND Q192R GENE POLYMORPHISMS IN CORONARY HEART DISEASE

2018-12-02 00:22:10 Keywords coronary artery disease (CAD), , CAD, Paraoxonase 1 (PON1),
PON1L55M AND Q192R GENE POLYMORPHISMS IN CORONARY HEART DISEASE
Elevated Low density lipoprotein (LDL) / High density lipoprotein (HDL) ratio is a risk factor for predicting coronary artery disease (CAD). Paraoxonase 1 (PON1) is a HDL associated serum enzyme. PON1 protects LDL from oxidative modifications and thus has a protective effect against CAD progression. There are two common polymorphisms, Q192R and L55M, in PON1 gene. There may be a ... Read more

Human Action Recognition via Affine Moment Invariants

2018-09-05 06:24:02 Keywords SVM classification, HOG descriptors, dermoscopy, CAD, melanoma skin cancer,
Human Action Recognition via Affine Moment Invariants
Despite their high stability and compactness, affine moment invariants have received a relatively little attention in action recognition literature. In this paper, we introduce an approach for activity recognition, based on affine moment invariants. In the proposed approach, a compact computationally-efficient shape descriptor is developed by using affine moment invariants. Affine moment invariants are derived from the 3D spatio-temporal action ... Read more

An SVM framework for malignant melanoma detection based on optimized HOG features

2018-08-24 17:42:56 Keywords SVM classification, HOG descriptors, dermoscopy, CAD, melanoma skin cancer,
An SVM framework for malignant melanoma detection based on optimized HOG features
Early detection of skin cancer through improved techniques and innovative technologies has the greatest potential for significantly reducing both morbidity and mortality associated with this disease. In this paper, an effective framework of a CAD (Computer-Aided Diagnosis) system for melanoma skin cancer is developed mainly by application of an SVM (Support Vector Machine) model on an optimized set of HOG ... Read more

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