PCSA-Net: pyramid channel and spatial attention network for multiclass renal disease diagnosis using CT images.
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| Title: | PCSA-Net: pyramid channel and spatial attention network for multiclass renal disease diagnosis using CT images. |
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| Authors: | Tawfik N; Computers and Systems Department, Electronics Research Institute, El Nozha, Huckstep, Cairo, 12622, Egypt. nahedtawfik@eri.sci.eg., Emara HM; Department of Electronics and Communications Engineering, High Institute of Electronic Engineering, Ministry of Higher Education, Bilbis-Sharqiya, 44621, Egypt., El-Shafai W; Automated Systems and Computing Lab (ASCL), Computer Science Department, Prince Sultan University, Riyadh, 11586, Saudi Arabia., 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 09; Vol. 16 (1), pp. 5953. Date of Electronic Publication: 2026 Feb 09. |
| 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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