Improvement of medical images with multi-objective genetic algorithm and adaptive morphological transformations

Abstract Different variables can contribute to the corruption of medical images, causing them to appear blurred or weakened. Therefore, various researches have been done to improve them. This paper utilizes top-hat and bottom-hat morphological transformations with variable-sized disk structuring ele...

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Bibliographic Details
Main Authors: Sadeq Moradzadeh, Vahid Mehrdad
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-10245-1
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