Deep Learning for Lung Disease Detection from Chest X-Rays Images (original) (raw)

Deep Learning for Biomedical Data Analysis, 2021

Abstract

Chest x-rays images are the primary source to detect tuberculosis and different thoracic diseases. Lung nodules also can be identified from the chest x-rays images. In the past decade, the concept of automatic disease detection from the datasets of chest x-rays images has gained importance and researchers have proposed a variety of techniques for tuberculosis screening, thoracic disease detection and lung nodule detection. With the availability of massive public datasets of chest x-rays images, Deep Learning (DL) techniques played a key role in lung disease detection. This book chapter tries to cover the DL techniques used to detect lung diseases from chest x-rays datasets. It contains the description of the public datasets of chest x-rays images available for thoracic disease detection, tuberculosis screening and lung nodule detection. It also lists most commonly used performance metrics for the evaluation of disease detection techniques.

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