Hybrid CNN-GCN framework for brain tumor MRI classification: A graph-based approach to smart healthcare diagnostics.
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| Title: | Hybrid CNN-GCN framework for brain tumor MRI classification: A graph-based approach to smart healthcare diagnostics. |
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| Authors: | Alkasasbeh MS; Department of Allied Medical Sciences, Faculty of Applied Medical Sciences, Al al-Bayt University, Mafraq, Jordan., Ibnaouf KH; Department of Physics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia., Ahmed NM; Department of Laser and Optoelectronics Engineering, Dijlah University, Baghdad, Iraq., Rahman AA; School of Physics, Universiti Sains Malaysia, Penang, Malaysia., Abbas DN; School of Physics, Universiti Sains Malaysia, Penang, Malaysia., Al Tawil A; Computer Science Department Faculty of Information Technology, Applied Science Private University, Amman, Jordan., Idriss H; Deanship of Scientific Research, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia., Alkasasbeh HT; Department of Mathematics, Faculty of Science, Ajloun National University, Ajloun, Jordan. |
| Source: | Journal of applied clinical medical physics [J Appl Clin Med Phys] 2026 Apr; Vol. 27 (4), pp. e70560. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wiley on behalf of American Association of Physicists in Medicine Country of Publication: United States NLM ID: 101089176 Publication Model: Print Cited Medium: Internet ISSN: 1526-9914 (Electronic) Linking ISSN: 15269914 NLM ISO Abbreviation: J Appl Clin Med Phys Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1526-9914 |
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| DOI: | 10.1002/acm2.70560 |
