• AINALA NAVYA DEVI
• D.D.D SURI BABU
• B.NANDAN KUMAR

In present days for identifying or predict any diseases, one should have proper diagnosis knowledge for predicting the disease which is present in that human body. In general for prediction of very serious diseases we try to use X-Ray, CT or MRI scan techniques for taking decision on that appropriate disease. These reports are diagnosed and given reports by using a medical person who has complete knowledge on that appropriate domain to find out the abnormality which is present in human beings. As we all know that india tops the world for having more deaths due to lung related diseases and in recent days COVID is one which cause problem for lungs and respiratory organs. After the second highest cause of deaths in India due to heart disease, this lung disease is one which is increasing its rank more and more. In general now a day’s covid is one of the major diseases which is disturbing the humans. This covid 19 is also predicted using chest X-rays and there is quite similarity between COVID 19 and pneumonia when compared each other. Hence there should be very keen knowledge in order to differentiate each of them from X-ray sheets. Hence we try to design an application using Deep Learning Classifiers in order to find out the difference very accurately by taking some sample Chest X-Ray reports. Our proposed deep learning framework is divided into two types: One is generating multi class classifier for classification of normal, pneumonia and covid19. Next we try to present several X-Ray images and then apply binary classifier for identifying the difference between each and every patient record.

Deep Learning, Lung Diseases-Ray, Pneumonia, MRI Diagnosis.

" IDENTIFYING THE SIMILARITIES BETWEEN COVID 19 AND PNEUMONIA FROM CHEST X-RAY USING CNN MODELS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 9, page no.e105-e116, September-2021, Available :http://www.jetir.org/papers/JETIR2109408.pdf

" IDENTIFYING THE SIMILARITIES BETWEEN COVID 19 AND PNEUMONIA FROM CHEST X-RAY USING CNN MODELS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 9, page no. ppe105-e116, September-2021, Available at : http://www.jetir.org/papers/JETIR2109408.pdf