Deep Learning for Detecting Pneumonia
Author(s):
Adithya Suresh , R.M.K.College of Engineering and Technology; Aakaash, R.M.K.College of Engineering and Technology; Jagadeesvarraj, R.M.K.College of Engineering and TechnologyKeywords:
Lung, Disease, Pneumonia, Object Detection, Feature Extraction. Deep Learning, Convolutional Neural NetworkAbstract:
In this paper, we present the concept of detecting pneumonia using Deep learning. In today’s modern world pneumonia disease is the most lethal one. This disease attacks a person so instantly. So, diagnosis a patient correctly on timely basis is the most challenging task. At the same time cost of treatment is high and not affordable by many people. The goal of this paper is to develop a detecting system for pneumonia using Deep Learning Technologies. Healthcare industry contains a huge amount of healthcare data (Image data) and these healthcare data contain hidden information. This hidden information is useful for making effective detection using different Deep Learning techniques. We can develop efficient Decision-Making for patients who will be suffering from disease and using this we can identify the patients who have pneumonia. So that treatment cost will be affordable by people. In order to learn about deep learning the paper we referenced are mentioned below from [1...13].
Other Details:
| Manuscript Id | : | J4RV6I6007 |
| Published in | : | Volume : 6, Issue : 6 |
| Publication Date | : | 01/09/2020 |
| Page(s) | : | 9-12 |
