Lightweight deep learning framework for intracranial hemorrhage detection in brain CT scans.
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| Title: | Lightweight deep learning framework for intracranial hemorrhage detection in brain CT scans. |
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| Authors: | Hussain S; School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China., Jan S; Faculty of Computer Studies, Arab Open University-Bahrain, A'ali, Bahrain.; Center for Advanced Analytics, CoE for Artificial Intelligence, Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Selangor, Malaysia., Aldhayan M; Department of Computer Science, College of Computer and IT, Shaqra University, Shaqra, Saudi Arabia., Khan MAU; Department of Computer Science, College of Computer and Information Sciences, Prince Sultan University, Riyad, Saudi Arabia., Kamal S; Center for Advanced Analytics, CoE for Artificial Intelligence, Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Selangor, Malaysia., Jameel A; Department of Computer Science, Faculty of Computing, International Islamic University Islamabad, Islamabad, Pakistan., Alkhateeb JH; Computer Engineering Department, College of Engineering and Computer Science, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia., Zraqou J; Department of Computer Science, University of Petra, Amman, Jordan. |
| Source: | Frontiers in medicine [Front Med (Lausanne)] 2026 Jun 17; Vol. 13, pp. 1804084. Date of Electronic Publication: 2026 Jun 17 (Print Publication: 2026). |
| 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.2026.1804084 |
