Enhancing Multi–Class Prediction of Skin Lesions with Feature Importance Assessment

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Open Access

|Dec 2024

Authors

Artificial Intelligence Centre Kaunas University of Technology K, Kaunas, Lithuania

Department of Mathematical Modeling Kaunas University of Technology Studentu g, Kaunas, Lithuania

Faculty of Informatics Kaunas University of Technology Studentu g, Kaunas, Lithuania

Department of Skin and Venereal Diseases Lithuanian University of Health Sciences A, Kaunas, Lithuania

Department of Skin and Venereal Diseases Hospital of Lithuanian University of Health Sciences ‘Kauno klinikos’ Eiveniu g, Lithuania

DOI: https://doi.org/10.61822/amcs-2024-0041 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X

Language: English

Page range: 617 - 629

Submitted on: Feb 15, 2024

Accepted on: Aug 23, 2024

Published on: Dec 25, 2024

Published by: University of Zielona Góra

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

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© 2024 Agne Paulauskaite-Taraseviciene, Kristina Sutiene, Nojus Dimsa, Skaidra Valiukeviciene, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.