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Nazarkar Pravalika on Muck Rack

Nazarkar Pravalika

As seen in: Frontiers in Digital Health
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Articles

Hardware-aware knowledge-distilled CNN for real-time classification of plaque-associated angiographic findings on FPGA

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By Vetriveeran Rajamani, Nazarkar Pravalika, Jabeena Afthab
| Frontiers in Digital Health
Abstract Coronary artery disease (CAD) is one of the leading causes of global mortality, necessitating accurate assessment of coronary artery stenosis and plaque-associated angiographic findings from coronary angiography images. Although deep learning-based diagnostic models have demonstrated high predictive capability, their deployment on resource-constrained embedded platforms remains challenging because of computational complexity and memory requirements.
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