• Abhishek Kashyap
• N V Adarsh
• Anirudh Iyengar
• Nemaly Praveen
• Keerti Kulkarni

With chest x-ray being economical and one of the best method for diagnosing lung disease such as pneumonia and other abnormalities in the thoracic region, our paper takes the approach of using concepts of deep learning and Convolutional Neural Network(CNN) to predict a class of 14 diseases from chest x-ray images. We train the network with help of 100,000+ images available to the public from NIH. In the end we expect this classification algorithm to assist a radiologist in diagnosis of diseases through x-ray faster and more accurate.

Artificial Intelligence, Machine Learning, Deep Learning, CNN, Transfer Learning, Chest Radiology

"DETECTION OF LUNG DIEASES BY ANALYSING CHEST XRAYS USING ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 9, page no.296-298, September-2020, Available :http://www.jetir.org/papers/JETIR2009245.pdf

"DETECTION OF LUNG DIEASES BY ANALYSING CHEST XRAYS USING ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 9, page no. pp296-298, September-2020, Available at : http://www.jetir.org/papers/JETIR2009245.pdf