Improving medical image classification based on Boosted Beluga Whale Optimizer with Triangular Mutation and Cross Vision transformer models

In this study, we introduce a framework for medical image classification that combines deep learning models with modified Beluga Whale Optimization as a feature selection technique. Our approach utilizes a feature extraction technique called CrossViT, a vision transformer model architecture design o...

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Bibliographic Details

Published in:	Egyptian Informatics Journal
Main Authors:	Abdelghani Dahou, Mohamed Abd Elaziz, Ahmad O. Aseeri, Ahmed A. Ewees, Mohammed A.A. Al-qaness, Rehab Ali Ibrahim
Format:	Article
Language:	English
Published:	Elsevier 2025-09-01
Subjects:	Medical image classification Beluga Whale Optimization (BWO) Triangular Mutation Operator (TMO) CrossViT Metaheuristic optimization
Online Access:	http://www.sciencedirect.com/science/article/pii/S1110866525001331