Research Publications

Pneumothorax Detection and Classification on Chest Radiographs using Artificial Intelligence

Abstract In recent years, Computer Aided Diagnosis (CAD) systems have been designed for the detection of lung space anomalies.Pneumothorax is an abnormal collection of air in the pleural space between the lung and the chest wall that can result inpartial or complete lung collapse [1]. This is a medical emergency in which quick detection and […]

Pneumothorax Detection and Classification on Chest Radiographs using Artificial Intelligence Read More »

Pneumonia Detection and Classification on Chest Radiographs using Deep Learning

Abstract Computer Aided Diagnosis (CAD) is progressively becoming a reliable tool in enhancing the productivity and accuracy of a radiologist in detecting abnormalities on chest radiographs. Detection of airspace disease such as pneumonia can be facilitated with the help of image processing and deep learning algorithms. In this study, we aim to develop and evaluate

Pneumonia Detection and Classification on Chest Radiographs using Deep Learning Read More »

Scroll to Top