Syed Azfar Rahman
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Researcher
Graduate Student Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Syed Azfar Rahman's research focuses on the application of machine learning techniques to medical imaging for disease classification. His recent publication investigates the impact of unbalanced datasets and pretraining strategies on the multiclass classification of brain tumors using MRI scans. This work highlights the importance of data handling and model initialization in achieving accurate diagnostic outcomes in medical image analysis.
Rahman collaborates with Shweta Dabetwar at the University of Arkansas at Little Rock on shared publications. His research interests align with the development and application of advanced computational methods for medical diagnosis and analysis.
Metrics
- Publications: 1
Selected Publications
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A Study of the Effect of Unbalanced Dataset and Pretraining on the Multiclass Classification of Brain Tumors Using MRI Scans (2025)
Collaboration Network
Top Collaborators
- A Study of the Effect of Unbalanced Dataset and Pretraining on the Multiclass Classification of Brain Tumors Using MRI Scans
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