Transferable CNN-based data mining approaches for medical imaging: application to spine DXA scans for osteoporosis detection
The proposed paradigm would therefore be very valuable to radiologists and other medical professionals. The proposed approach's capacity to detect, monitor, and diagnose osteoporosis may reduce the risk of developing the condition.
Authors
- Abdelhamid Zaïdi (ORCID: https://orcid.org/0000-0003-1305-4959)
- Jawad Rasheed (ORCID: https://orcid.org/0000-0003-3761-1641)
- Nazife Çevik (ORCID: https://orcid.org/0000-0001-9511-9423)
- Amir Seyyedabbasi
- Onur Osman
- Shtwai Alsubai
- Awad Bin Naeem
Institutions
- İstanbul Sabahattin Zaim Üniversitesi (TR)
- Prince Sattam Bin Abdulaziz University (SA)
- Applied Science Private University (JO)
- Qassim University (SA)
- İstanbul Nişantaşı Üniversitesi (TR)
- Istanbul Medipol University (TR)
- Istinye University (TR)
- National College of Business Administration and Economics (PK)
- Istanbul Arel University (TR)
- Istanbul University (TR)
- University of Bologna (IT)
Publication Details
- Journal
- Frontiers in Computational Neuroscience
- Published
- 2025-12-30
- DOI
- https://doi.org/10.3389/fncom.2025.1712896
- Primary Topic
- Bone health and osteoporosis research
- Type
- article
- Field-Weighted Citation Impact
- 0.00