Hybrid RBC Morphology Analysis and Diagnostic Framework for β-Thalassemia Using SEBlock-CBAM Enhanced MobileNetV2 and TabNet
Hybrid diagnostic pipeline for β-thalassemia: attention-augmented MobileNetV2 for RBC morphology + TabNet for tabular blood data, with Optuna and SMOTE-ENN. 90.8% RBC accuracy, 90% precision.
About the author
This paper is authored by Vanshaj Awasthi, a Full Stack Developer based in Pune, Maharashtra, India, with 17+ peer-reviewed publications across IEEE and Springer in medical AI and deep learning, and two IEEE Best Paper Awards. Bachelor of Technology - Computer Science, Amity University Mumbai.
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