Early prediction of diabetic retinopathy using a multimodal deep learning framework integrating fundus and OCT imaging.
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| Title: | Early prediction of diabetic retinopathy using a multimodal deep learning framework integrating fundus and OCT imaging. |
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| Authors: | Emara AM; Department of Computer Science, College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia., Alkhateeb JH; Department of Computer Engineering, College of Engineering and Computer Science, Prince Mohammad Bin Fahd University, Al Khobar, Saudi Arabia., Atteia G; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia., Turani A; Department of Information Systems, College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia., Zraqou J; Department of Computer Science, University of Petra, Amman, Jordan., Elsawaf Z; Department of Pathology, Medical Faculty, Taibah University, Madinah, Saudi Arabia., Jameel A; Department of Computer Science, Faculty of Computing, International Islamic University Islamabad, Islamabad, Pakistan. |
| Source: | Frontiers in medicine [Front Med (Lausanne)] 2026 Jan 09; Vol. 12, pp. 1741146. Date of Electronic Publication: 2026 Jan 09 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2296-858X |
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| DOI: | 10.3389/fmed.2025.1741146 |
