Detection of Lung Diseases using Deep Learning

5 Pages Posted: 7 Apr 2020 Last revised: 16 Jul 2020

See all articles by Rasika Naik

Rasika Naik

University of Mumbai - Vivekanand Education Society's Institute of Technology (VESIT); Sir Padampat Singhania University Udaipur

Tejas Wani

University of Mumbai, Vivekanand Education Society's Institute of Technology (VESIT)

Sakshi Bajaj

University of Mumbai, Vivekanand Education Society's Institute of Technology (VESIT)

Shiva Ahir

University of Mumbai, Vivekanand Education Society's Institute of Technology (VESIT)

Atharva Joshi

University of Mumbai, Vivekanand Education Society's Institute of Technology (VESIT)

Date Written: April 8, 2020

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 1 million (958,000) 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 Xrays 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.

Keywords: Detection, Lung Diseases, Deep Learning

Suggested Citation

Naik, Rasika and Wani, Tejas and Bajaj, Sakshi and Ahir, Shiva and Joshi, Atharva, Detection of Lung Diseases using Deep Learning (April 8, 2020). Proceedings of the 3rd International Conference on Advances in Science & Technology (ICAST) 2020, Available at SSRN: https://ssrn.com/abstract=3568730 or http://dx.doi.org/10.2139/ssrn.3568730

Rasika Naik

University of Mumbai - Vivekanand Education Society's Institute of Technology (VESIT) ( email )

India

Sir Padampat Singhania University Udaipur ( email )

Tejas Wani (Contact Author)

University of Mumbai, Vivekanand Education Society's Institute of Technology (VESIT) ( email )

India

Sakshi Bajaj

University of Mumbai, Vivekanand Education Society's Institute of Technology (VESIT) ( email )

India

Shiva Ahir

University of Mumbai, Vivekanand Education Society's Institute of Technology (VESIT) ( email )

India

Atharva Joshi

University of Mumbai, Vivekanand Education Society's Institute of Technology (VESIT) ( email )

India

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