Similarity and distance measures play important roles in fuzzy environments, helping to
quantify the degree of similarity or concepts that may not have clear limits. They are used in …

Image registration (IR) is a process that deforms images to align them with respect to a
reference space, making it easier for medical practitioners to examine various medical …

This study describes a new method for the preparation of composite materials using
polyvinyl chloride (PVC) films and polyurethane (PU) foam elastomers. This new preparation …

This study introduces a novel method to assess solar-wind hybrid energy systems, utilizing
data analysis for key metrics (Performance Yields YR, Capacity Factor CF, and Performance …

The structure and topology of the pulmonary arteries is crucial to understand, plan, and
conduct medical treatment in the thorax area. Due to the complex anatomy of the pulmonary …

Objective. Computed Tomography (CT) image registration makes fast and accurate imaging-
based disease diagnosis possible. We aim to develop a framework which can perform …

In this paper, we propose a diffeomorphic multi-modality image registration model based on
the Rényi's statistical dependence measure by taking mesh folding elimination into …

Medical image processing requires image segmentation and image registration as important
diagnostic tools. Image segmentation aims to split structures of interest into distinct …

Transfer learning is an in-depth learning approach that uses an existing model to classify a
new task. The approach involves using some target data on a fine-tuned model. Fine-tuning …

Similarity and distance measures play important roles in fuzzy environments, helping to
quantify the degree of similarity or concepts that may not have clear limits. They are used in …