The project aims to develop a mathematical model to detect COVID-19 positive cases using chest X-ray images without considering symptoms. Existing methods focus on predicting positive cases but do not estimate the severity of the positive case. The p
Section: Medical Sciences (Research Project)
Related:
Scalable Convolution
Scalable Convolution Neural Network CNN fused with hand crafted descriptors for detection of COVID-19 infection based on Lung Congestion using X-Ray images.
Research Project › Other Areas
Related:
Single ventilator
Single ventilator design modification for optimal multi-patient use – A CFD study
Research Project › Other
Engineering the
Engineering the Molecular Metal Organophosphate Chemistry for Energy Transition and Quantum Information Processing
Research Project › Chemical Sciences
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