Open AccessDETECTION OF PNEUMONIA IN PATIENTS USING CHEST X-RAY IMAGES BASED ON CONVOLUTIONAL NEURAL NETWORKS
Author(s) -
Abhay Chopde,
Farhan Aga,
Ananya Kumar
Publication year - 2022
Publication title -
international journal of medical and biomedical studies
Language(s) - English
Resource type - Journals
eISSN - 2589-8698
pISSN - 2589-868X
DOI - 10.32553/ijmbs.v6i2.2406
Subject(s) - pneumonia , chills , medicine , phlegm , convolutional neural network , intensive care medicine , disease , radiology , pathology , computer science , artificial intelligence , alternative medicine , traditional chinese medicine
Pneumonia is a respiratory disease which inflames one or both lungs, and lungs may fill up with fluid. This can cause fever, chills, cough with phlegm or pus. It is a harmful disease that can be fatal in some cases. It is critical to detect pneumonia early, with a model which could help doctors reduce workload and bring in more accuracy in detection of pneumonia.In this work, we propose a model which is designed for the diagnosis of pneumonia that is trained on digital chest X-ray images to accurately diagnose pneumonic lungs. In the author’s opinion, this could benefit the medical field in the near future.Keywords: CNN, Keras, Pneumonia