[This article belongs to Volume - 54, Issue - 02]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-10-11-2022-420

Title : DIAGNOSIS OF LUNG DISEASES USING CONVOLUTION NEURAL NETWORK
P.Abirami 1 , Dr. S. Nirmala Sugirtha Rajini 2

Abstract :

- Computer systems are upgraded with the technology of AI (Artificial Intelligence) to enable the computer to think similarly to the human being to handle the situation safely. Many researchers are concentrating on discovering various algorithms based on AI. The foremost objective of the method utilized is to diagnose the risk of different diseases in a single person concerning the answers provided by them to the questions raised with the help of deep learning algorithms in the end-to-end encryption process. The ultimate goal of this research work is to identify the diseases in between the trained dataset rendered by making use of classification algorithms. The dataset has been trained with the CNN classifier approach especially focusing on the lung disease dataset. The performance of the proposed model is estimated in the scale of accuracy. The result obtained using CNN was 93% and tool used for execution is python.