A Competitive Generalized Gamma Mixture Model for Medical Image Diagnosis

A Competitive Generalized Gamma Mixture Model for Medical Image Diagnosis

Parametric family of statistical distributions are of great importance for several applications. In particular, we propose to investigate the generalized Gamma mixture model (gΓMM) for modeling and classifying medical imaging (Chest x-ray and CT-scans). The main advantage of this mixture...

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Bibliographic Details
Main Authors: Sami Bourouis, Hassen Sallay, Nizar Bouguila
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Mixture models
generalized Gamma distribution
Fisher distance
Kullback-Leibler distance
Bhattacharyya distance
chest x-ray images (CXR) classification
Online Access:https://ieeexplore.ieee.org/document/9324838/

Internet

https://ieeexplore.ieee.org/document/9324838/

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