Efficiency of Artificial Intelligence Methods for Hearing Loss Type Classification: An Evaluation
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12 sept 2024
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Publicado en línea: 12 sept 2024
Páginas: 28 - 38
Recibido: 09 dic 2023
Aceptado: 26 mar 2024
DOI: https://doi.org/10.14313/jamris/3-2024/19
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© 2024 Michał Kassjański et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Kassjański, Michał
Department of Geoinformatics, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of TechnologyGdansk, Poland
Kulawiak, Marcin
Department of Geoinformatics, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of TechnologyGdansk, Poland
Przewoźny, Tomasz
Department of Otolaryngology, Medical University of GdanskGdansk, Poland
Tretiakow, Dmitry
Department of Otolaryngology, the Nicolaus Copernicus Hospital in Gdansk, Copernicus Healthcare EntityGdansk, Poland
Kuryłowicz, Jagoda
Department of Otolaryngology, Medical University of GdanskGdansk, Poland
Molisz, Andrzej
Department of Otolaryngology, Medical University of GdanskGdansk, Poland
Koźmiński, Krzysztof
Student’s Scientific Circle of Otolaryngology, Medical University of GdańskGdansk, Poland
Kwaśniewska, Aleksandra
Department of Otolaryngology, Laryngological Oncology and Maxillofacial Surgery, University Hospital No. 2Bydgoszcz, Poland
Mierzwińska‑Dolny, Paulina
Student’s Scientific Circle of Otolaryngology, Medical University of GdańskGdansk, Poland
Grono, Miłosz
Student’s Scientific Circle of Otolaryngology, Medical University of GdańskGdansk, Poland