Have a personal or library account? Click to login
Application of Convolutional Gated Recurrent Units U-Net for Distinguishing between Retinitis Pigmentosa and Cone–Rod Dystrophy Cover

Application of Convolutional Gated Recurrent Units U-Net for Distinguishing between Retinitis Pigmentosa and Cone–Rod Dystrophy

Acta Mechanica et Automatica
Volume 18 (2024): Issue 3 (September 2024)
By: Maria Skublewska-Paszkowska,  Pawel Powroznik,  Robert Rejdak and  Katarzyna Nowomiejska  
Open Access
|Jul 2024

Download Article

Download the full article as a PDF file.

DOI: https://doi.org/10.2478/ama-2024-0054 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
Journal RSS Feed
Language: English
Page range: 505 - 513
Submitted on: Jul 22, 2023
Accepted on: Jan 29, 2024
Published on: Jul 25, 2024
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
retinitis pigmentosa,
convolutional GRU U-Net,
classification,
UWFP,
UWFAF,
deep learning
Related subjects:
Engineering,
Civil engineering,
Environmental engineering,
Electrical engineering,
Electronics,
Mechanical engineering,
Mechanics,
Bioengineering and biomedical engineering,
Biomechanics

© 2024 Maria Skublewska-Paszkowska, Pawel Powroznik, Robert Rejdak, Katarzyna Nowomiejska, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Previous articleVolume 18 (2024): Issue 3 (September 2024)Next article