학술논문

CNN based Deep Learning for Pneumonia Detection
Document Type
Conference
Source
2023 12th International Conference on Advanced Computing (ICoAC) Advanced Computing (ICoAC), 2023 12th International Conference on. :1-7 Aug, 2023
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Deep learning
Microorganisms
Pulmonary diseases
Computational modeling
Transfer learning
Feature extraction
Classification algorithms
CNN
Image Classification
Data Augmentation
Pneumonia
Language
Abstract
The role of artificial intelligence in our society is growing, according to recent developments. CNNs, also known as convolutional neural networks, are an artificial intelligence algorithm class used in computer vision and image processing. a future-oriented medical technology with great potential. The capacity to manipulate and examine images could aid in a more accurate diagnosis of medical conditions. This article introduces a lung X-ray image classification model that was developed and evaluated on an 8071 sample of chest x-ray images using the proposed CNN model. Patients fall into one of three categories: those who are healthy, those who have viral or bacterial pneumonia, or both. An investigation into the phenomenon of lung diseases like asthma and covid 19 along with pneumonia detection was conducted as a result of the effects of incorporating data augmentation techniques on the prevention and performance of the model. The precision obtained from the analysis’s findings demonstrates an accuracy of 97% detection, and these discoveries hold great promise for the future.