Thoracic Diseases Prediction Algorithm From Chest X-Ray Images Using Machine Learning Techniques

5 Pages Posted: 21 Mar 2019

See all articles by Rushikesh Chavan

Rushikesh Chavan

University of Mumbai - Pillai College of Engineering

Jidnasa Pillai

University of Mumbai - Pillai College of Engineering

Shravani Holkar

University of Mumbai - Pillai College of Engineering

Prajyot Salgaonkar

University of Mumbai - Pillai College of Engineering

Prakash Bhise

University of Mumbai - Pillai College of Engineering

Date Written: March 11, 2019

Abstract

Examining Chest X-Ray (CXR) is a time consuming process. In some cases, medical experts had overlooked the diseases in their first examinations on CXR, and when the images were reexamined, the disease signs are detected. Radiologists have to spend time diagnosing these chest X-ray images to find any potential lung diseases. Diagnosing X-ray require careful observation and knowledge of anatomical, physiology and pathological principles. The work involves machine learning techniques applied for automated prediction of seven thoracic diseases namely Pneumonia, Fibrosis, Hernia, Edema, Emphysema, Cardiomegaly and Pneumothorax from chest X-ray images. Computerized image segmentation and feature analysis helps in assisting the doctors in treatment and diagnosis of diseases more accurately.

Keywords: Thoracic Diseases, Independent Binary Classifier, SIFT (Scale Invariant Feature Transform), Visual Bag of Words, Logistic Regression, SVM (Support Vector Machines)

Suggested Citation

Chavan, Rushikesh and Pillai, Jidnasa and Holkar, Shravani and Salgaonkar, Prajyot and Bhise, Prakash, Thoracic Diseases Prediction Algorithm From Chest X-Ray Images Using Machine Learning Techniques (March 11, 2019). Proceedings 2019: Conference on Technologies for Future Cities (CTFC), Available at SSRN: https://ssrn.com/abstract=3350226 or http://dx.doi.org/10.2139/ssrn.3350226

Rushikesh Chavan

University of Mumbai - Pillai College of Engineering ( email )

Dr. K. M.Vasudevan Pillai Campus
Plot 10, Sector 16, New Panvel
Navi Mumbai, 410206
India

Jidnasa Pillai (Contact Author)

University of Mumbai - Pillai College of Engineering ( email )

Dr. K. M.Vasudevan Pillai Campus
Plot 10, Sector 16, New Panvel
Navi Mumbai, 410206
India

Shravani Holkar

University of Mumbai - Pillai College of Engineering ( email )

Dr. K. M.Vasudevan Pillai Campus
Plot 10, Sector 16, New Panvel
Navi Mumbai, 410206
India

Prajyot Salgaonkar

University of Mumbai - Pillai College of Engineering ( email )

Dr. K. M.Vasudevan Pillai Campus
Plot 10, Sector 16, New Panvel
Navi Mumbai, 410206
India

Prakash Bhise

University of Mumbai - Pillai College of Engineering ( email )

Dr. K. M.Vasudevan Pillai Campus
Plot 10, Sector 16, New Panvel
Navi Mumbai, 410206
India

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
137
Abstract Views
618
rank
240,887
PlumX Metrics