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Keyword: Content-based image retrieval

Original Article
A Relevance Feedback Approach based on Modification of Similarity Measure Using Particle Swarm Optimization in a Medical X-ray Image Retrieval System

Relevance feedback (RF) approaches are use to improve the performance of content-based image retrieval (CBIR) systems. In this paper, a RF approach based on modification of similarity measure using particle swarm optimization (PSO) in a medical X-ray image retrieval system is proposed. In this algorithm, using PSO, the significance of each feature in the similarity […]

Original Article
Medical Image Retrieval Based on Ensemble Learning using Convolutional Neural Networks and Vision Transformers

The rapid increase in the number of medical image repositories nowadays has led to problems in managing and retrieving medical visual data. This has proved the necessity of Content-Based Image Retrieval (CBIR) with the aim of facilitating the investigation of such medical imagery. One of the most serious challenges that require special attention is the […]