Banupriya, C.V Android Applications for Lung Nodules Classification Using Convolutional Neural Network. Android Applications for Lung Nodules Classification Using Convolutional Neural Network.

[thumbnail of Android applications for lung nodules classification using convolutional neural network.pdf] Text
Android applications for lung nodules classification using convolutional neural network.pdf - Published Version
Download (336kB)

Abstract

Digital image processing is currently used in various fields of research. One of
them is in the field of medicine. In fact, experienced radiologists have difficulty
distinguishing the cancerous portions of the blood vessels in the lung or detecting
f
ine nodules that suggest lung cancer on X-ray images. Previous studies have shown
that doctors and radiologists fail to detect cancerous patches in 30% of positive
cases. Implementation of CAD system to classify and detect parts of cancer has
been developed, but the results obtained from this implementation are that there
are still many errors in the classification results. Therefore, this study will develop
android app image technique to perform the classification process of lung cancer.
With this research, it is hoped that the developed algorithm can help doctors and
radiologists to detect cancer in a short time with more accuracy. Finally, after 20
iterations, a percentage of 90.65% was attained for the test results’ performance in
classifying 10 X-ray pictures.

Item Type: Article
Divisions: PSG College of Arts and Science > Department of Computer Science
Depositing User: Dr. B Sivakumar
Date Deposited: 27 Oct 2025 09:09
Last Modified: 27 Oct 2025 09:09
URI: https://ir.psgcas.ac.in/id/eprint/2470

Actions (login required)

View Item
View Item