ANALYSIS OF LUNG DISEASE CLASSIFICATION USING TRANSFER LEARNING APPROACH
Devavarapu Sreenivasarao
Research Scholor, Annamalai University and Assistant Professor, Department of CSE, Sreenidhi Institute of Science & Technology, Hyderabad, Email: sreenivasaraod@sreenidhi.edu.in
Dr. S. Anu H Nair
Assistant Professor, Department of CSE, Annamalai University, Chidambaram (Deputed to WPT Chennai). Email: anu_jul@yahoo.co.in
Dr. T Venkat Narayana Rao
Professor & HOD of CSE(IoT), Sreenidhi Institute of Science and Technology, Hyderabad,
Email: venkatnarayanaraot@sreenidhi.edu.in
Dr. K P Sanal Kumar
Assistant Professor, Department of Computer Science, R.V Government Arts College, Chengalpattu, Email:sanalprabha@yahoo.co.in
Abstract
There is an increasing risk on health due to changing environment, climate and lifestyle. India tops the world in deaths due to lung diseases. They were the second highest cause of deaths in India after heart disease in 2017, killing nearly 1 million Indians that year. Early diagnosis and treatment of lung diseases is critical to prevent complications including death. Chest X-ray is currently the best available method for diagnosis, playing a crucial role in clinical care. Using Deep Learning to predict lung diseases from Chest X-rays can be a lifesaving factor for an individual suffering from the disease. This is possible as the results can be predicted with a high percentage of accuracy instantly. This paper presents an effective way for expert diagnosis of lung diseases using Deep Learning. It focuses on creating a system for assistance of Radiologists in detection of lung diseases. This will especially benefit rural areas where radiologists aren’t easily available. Our system connects radiology labs with the radiologists who can diagnose faster and better with our model.