Pneumonia Detection Using Deep Learning

Pneumonia Detection Using Deep Learning

Mr. R. Saikiran, Dr. Chandrasekharan Dinesh,

Dr. Chandrasekharan Dinesh, Associate -professor, Department of IT, Vignan Institute of Information Technology(A), Visakhapatnam- 530049

Mr. R. Saikiran, Student of Department of MASTER OF COMPUTER APPLICATIONS,

 Vignan’s Institute of Information Technology(A), Visakhapatnam- 530049

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Abstract - Lung disease called pneumonia is brought on by a bacterial infection. An effective treatment plan heavily depends on an early diagnosis. An expert radiologists can typically diagnose the condition with a chest x-ray. For several reasons, including the emergence of an illness that is not visible on a chest x-ray or the possibility that it is mistaken for another ailment, the diagnosis may be arbitrary. Thus, to assist clinicians, automated diagnostic technologies are required. In this work, a deep learning system for picture classification the Convolutional Neural Networks algorithm was constructed on a dataset. Chest radiographs are included in the data set, and the created model is assessed using a few statistical factors.

Key Words:  Diagnosis, computer-aided, deep learning, pneumonia, convolution neural networks, mass chest x-ray, chest x-ray14.