Diagnosis of Pneumonia on human Chest through X-ray using CNN algorithm of Deep Learning
Avinash Bharatbhai Korat
, Prof. Prakash Patel
Convolution Neural Network, Deep Learning, Medical Image Analysis
There are lots of advantages of using deep learning in the era of increasing medical data. It is easy to know about the relationships between data algorithmically without doing any laborious work. It is difficult to diagnose lung disease without a thorax x-ray. There is a shortage of radiologists in third world countries to diagnose CT images. Our approach to removing this kind of shortage and the use of technology can close the gap of the radiologist. Our proposed model can detect pneumonia from the thorax x-ray images with precise manner and accuracy. A transfer learning approach in which a pre-trained model is used and have to modify only a few layers of the existing model to diagnose pneumonia. In our proposed work, use of RSNA pneumonia detection dataset which contains enough images to train a deep learning model. Our model provides better prediction of pneumonia on the basis of lung infection in the human body using a deep learning approach.
"Diagnosis of Pneumonia on human Chest through X-ray using CNN algorithm of Deep Learning", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 2, page no.257 - 262, February-2021, Available :https://ijsdr.org/papers/IJSDR2102037.pdf
Volume 6
Issue 2,
February-2021
Pages : 257 - 262
Paper Reg. ID: IJSDR_192926
Published Paper Id: IJSDR2102037
Downloads: 000347528
Research Area: Engineering
Country: Ahmedabad, Gujarat, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
