In Briefs

Machine Learning Approach to detect COVID-19

January 24, 2021

Dr. V.N. Manjunath Aradhya, Associate Professor and Head, Department of Computer Applications, JSS Science and Technology University, Mysuru, has developed a model for detecting COVID-19 from chest X-ray images.
This concept has an advantage of learning from a few samples. The model proposed is a multi-class classification model as it classifies images of four classes — pneumonia bacterial, pneumonia virus, normal, and COVID-19. It has also been experimentally observed that the model has a superior performance over contemporary deep learning architectures. The proposed concept is the first-of-its-kind in the literature and expected to open up several new dimensions in the field of machine learning.

This research article was recently accepted in one of the top tier Journal, Cognitive Computation, Springer. This work is a combined effort with Prof. D. S. Guru of University of Mysore (UoM) and Prof. Mufti Mahmud of Nottingham Trent University, UK. Recently, Dr. Aradhya also published papers on understanding and analysis of COVID-19 which is co-authored with Prof. G. Hemantha Kumar, Vice-Chancellor, UoM, according to a press release from Dr. S. A. Dhanaraj, Registrar of the University.

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