Analysis of Pneumonia and COVID-19 Detection in Chest X-Ray Images using Deep Learning: A Survey

Analysis of Pneumonia and COVID-19 Detection in Chest X-Ray Images using Deep Learning: A Survey

Arshina Momin1, Khushbu Patil2, Meghana Joshi3, Parimal Dhake4 and Prerna Rawat5

Department of Computer Engineering

Genba Sopanrao Moze College of Engineering, Balewadi, Pune 45

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Abstract:The extreme lung conditions pneumonia and Covid-19, tend to affect one or both lungs, frequently brought on via viruses, fungus, or bacteria. Primarily based at the x-rays we've, we can be able to identify this lung infection. Chest X-rays dataset is taken from Kaggle which incorporate numerous x-rays photographs distinguished by means of 3 classes "Pneumonia", "Covid-19" and "Normal". Our aim is developing a deep learning model which can detect the lung disorder.

Within the healthcare area, ailment detection is essential for the reason that early identification and specific analysis can appreciably beautify affected person outcomes. But, conventional methods to illness detection can be exertions-in depth, pricey, and liable to mistakes. Deep learning has emerged as a viable solution to these problems.

Keywords : Deep Learning, Healthcare, CNN, Densenet121