Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/2378
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ashames, M.M. | - |
dc.contributor.author | Ceylan, Murat | - |
dc.contributor.author | Jennane, R. | - |
dc.date.accessioned | 2022-05-23T20:07:30Z | - |
dc.date.available | 2022-05-23T20:07:30Z | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 2147-6799 | - |
dc.identifier.uri | https://doi.org/10.18201/IJISAE.2021473646 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/2378 | - |
dc.description.abstract | Osteoporosis is a systemic skeletal disease characterized by low bone mass density and deterioration of the micro-architectural structure of the bone tissue, increasing bone fragility, and the probability of fracture. In this study, we propose a non-invasive method for osteoporosis classification using X-ray images (plain radiographs) of the ankle. Convolutional Neural Networks along with Data Augmentation techniques and Deep Transfer Learning Architectures are combined to classify X-ray images of healthy and osteoporotic patients. The proposed approach achieved an accuracy of 99% using ResNet50, and 100% with GoogleNet. © 2021, Ismail Saritas. All rights reserved. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Ismail Saritas | en_US |
dc.relation.ispartof | International Journal of Intelligent Systems and Applications in Engineering | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | CNN | en_US |
dc.subject | Data augmentation | en_US |
dc.subject | Osteoporosis | en_US |
dc.subject | Transfer learning | en_US |
dc.subject | X-ray | en_US |
dc.title | Deep Transfer Learning and Majority Voting Approaches for Osteoporosis Classification | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.18201/IJISAE.2021473646 | - |
dc.identifier.scopus | 2-s2.0-85124485434 | en_US |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.identifier.volume | 9 | en_US |
dc.identifier.issue | 4 | en_US |
dc.identifier.startpage | 256 | en_US |
dc.identifier.endpage | 265 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.authorscopusid | 57449083600 | - |
dc.authorscopusid | 56276648900 | - |
dc.authorscopusid | 55996640900 | - |
dc.identifier.trdizinid | 508032 | en_US |
dc.identifier.scopusquality | Q4 | - |
item.openairetype | Article | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | 02.04. Department of Electrical and Electronics Engineering | - |
Appears in Collections: | Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collections |
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File | Size | Format | |
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document (91).pdf | 753.8 kB | Adobe PDF | View/Open |
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