Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system
Article
Article Title | Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system |
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ERA Journal ID | 17852 |
Article Category | Article |
Authors | Tatli, Sinan, Macin, Gulay, Tasci, Irem, Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Turker, Dogan, Sengul, Ciaccio, Edward J. and Acharya, U. Rajendra |
Journal Title | Expert Systems with Applications |
Journal Citation | 236 |
Article Number | 121314 |
Number of Pages | 16 |
Year | 2024 |
Publisher | Elsevier |
Place of Publication | United Kingdom |
ISSN | 0957-4174 |
1873-6793 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.eswa.2023.121314 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S095741742301816X |
Abstract | Purpose Materials and method Results Conclusions |
Keywords | Biomedical image classification; MSNet; MS detection ; Myelitis detection ; Biomedical image classification ; Deep feature engineering |
ANZSRC Field of Research 2020 | 400306. Computational physiology |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Firat University, Turkey |
Beyhekim Training and Research Hospital, Turkiye | |
School of Business | |
Erzurum Technical University, Turkey | |
Columbia University Irving Medical Center, United States | |
School of Mathematics, Physics and Computing |
https://research.usq.edu.au/item/z1w37/transfer-transfer-model-with-msnet-an-automated-accurate-multiple-sclerosis-and-myelitis-detection-system
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