Machine Learning Based Detection of Lung Diseases using Medical Images

Udaykumar Bafana , Gokul Khatale , Sanket Derle , K. T. Ugale

Machine Learning, Lung Diseases, Medical Imaging, Radiology, Image Processing, Classification, Diagnosis, Feature Extraction, Healthcare, Automation

This research introduces an innovative method for detecting lung diseases through the application of machine learning to medical imaging. Given the global rise in lung disease cases, prompt and precise diagnosis is essential for effective treatment. Traditional diagnostic approaches often depend on manual analysis of radiological images, which can be both time-consuming and subjective. Our study proposes a machine learning framework to automate the detection process, thereby improving diagnostic accuracy and efficiency. The methodology includes image preprocessing, feature extraction, and classification using advanced machine learning algorithms. We assess the effectiveness of our approach on a comprehensive dataset of various lung diseases, showing promising results in sensitivity, specificity, and overall accuracy. This proposed system has the potential to significantly enhance early detection and management of lung diseases, leading to better patient outcomes and reduced healthcare costs.

Published Paper   E-Certificate

"Machine Learning Based Detection of Lung Diseases using Medical Images", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 5, page no.1341 - 1344, May-2024, Available :https://ijsdr.org/papers/IJSDR2405179.pdf

Volume 9 Issue 5, May-2024

Pages : 1341 - 1344

Paper Reg. ID: IJSDR_211535

Published Paper Id: IJSDR2405179

Downloads: 000347315

Research Area: Engineering

Country: Nashik, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2405179

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2405179

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition