A two-stage deep learning framework for kidney disease detection using modified specular-free imaging and EfficientNetB2.
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| Title: | A two-stage deep learning framework for kidney disease detection using modified specular-free imaging and EfficientNetB2. |
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| Authors: | El-Hag NA; The Higher Institute of Commercial Sciences, Al mahalla Al kubra, Algarbia, 31951, Egypt., El-Shafai W; College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia. welshafai@psu.edu.sa.; Automated Systems and Computing Lab (ASCL), Prince Sultan University, Riyadh, 11586, Saudi Arabia. welshafai@psu.edu.sa., El-Hameed HAA; Department of Electronics and Electrical Communication Engineering, Obour High Institute for Engineering and Technology, Cairo, 3036, Egypt., Soliman NF; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 84428, Saudi Arabia., Algarni AD; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 84428, Saudi Arabia., El-Samie FEA; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 84428, Saudi Arabia. |
| Source: | Scientific reports [Sci Rep] 2026 Feb 11; Vol. 16 (1). Date of Electronic Publication: 2026 Feb 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-025-04606-z |
