Hyperparameter tuned deep learning-driven medical image analysis for intracranial hemorrhage detection.
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| Title: | Hyperparameter tuned deep learning-driven medical image analysis for intracranial hemorrhage detection. |
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| Authors: | Almakayeel N; Department of Industrial Engineering, College of Engineering, King Khalid University, Abha, Saudi Arabia., Lydia EL; Department of Computer Science and Engineering, Vignan's Institute of Engineering for Women, Visakhapatnam, AP, India., Razzhivin O; Department of Psychology and Sport Science, Mamun University, Khiva, Uzbekistan.; Department of Physical Culture, Khorezm University of Economics, Urgench, Uzbekistan.; Department of Theory and Methods of Physical Culture and Life Safety of Elabuga Institute, Kazan Federal University, Kazan, Russia., Sree SR; Department of CSE, Aditya University, Surampalem, India., Ahmed MA; Department of Computer Engineering, College of Computer Engineering & Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia., Dash BB; School of Computer Applications, KIIT Deemed to be University, Bhubaneswar, India., Ibrahim SPS; School of Computer Science & Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India. |
| Source: | PloS one [PLoS One] 2025 Jul 28; Vol. 20 (7), pp. e0326255. Date of Electronic Publication: 2025 Jul 28 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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