Author:
Pranaya A.,Sowmya D.V.,Poojitha L.,Grace P.,Bhavya K.,Ganapathi Raju N.V.
Abstract
Pneumonia is a life-threatening disease that affects the lungs in humans. Pneumonia is caused by Streptococcus pneumoniae bacterium. In pneumonia detection chest X-ray images are used as input dataset. To detect pneumonia chest X-rays need to be estimated by expert radiotherapists and it is expensive process, It would be beneficial and easy for people to use automatic system for pneumonia identification. People identify pneumonia using automatic system and get active treatment at early stages. The dataset containing chest X-ray images is obtained from Kaggle. The image characteristics are learned using pre-trained CNN(Convolutional Neural Network) models. CNN is used to analyse image features. This approach assists physicians in determining whether the patient has pneumonia or not. Early detection helps in early diagnosis.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献