Bayesian inference framework for bounded generalized Gaussian‐based mixture model and its application to biomedical images classification

Author:

Alroobaea Roobaea1,Rubaiee Saeed2,Bourouis Sami34ORCID,Bouguila Nizar5ORCID,Alsufyani Abdulmajeed1

Affiliation:

1. Department of Computer SciencesCollege of Computers and Information Technology, Taif University Taif Saudi Arabia

2. Department of Industrial EngineeringUniversity of Jeddah Jeddah Saudi Arabia

3. Department of Information TechnologyCollege of Computers and Information Technology, Taif University Taif Saudi Arabia

4. LR‐SITI Laboratoire Signal Image et Technologies de l'Information, Université de Tunis El Manar Tunis Tunisia

5. The Concordia Institute for Information Systems Engineering (CIISE), Concordia University Montreal Quebec Canada

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Reference68 articles.

1. UCI machine learning repository: breast cancer wisconsin (diagnostic) data set (2012). UCI machine learning repository: breast cancer wisconsin (diagnostic) data set.http://archive.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+%28diagnostic%29

2. UCI machine learning repository: breast cancer wisconsin (original) data set (2012). UCI machine learning repository: breast cancer wisconsin (original) data set.http://archive.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+%28original%29

3. Evaluation of a System for Automatic Detection of Diabetic Retinopathy From Color Fundus Photographs in a Large Population of Patients With Diabetes

4. An Integrated Index for the Identification of Diabetic Retinopathy Stages Using Texture Parameters

5. An Automated System for the Detection and Classification of Retinal Changes Due to Red Lesions in Longitudinal Fundus Images

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