Abstract Background and Objective Chest X-ray (CXR) is one of the most used imaging
techniques for detection and diagnosis of pulmonary diseases. A critical component in any …

Chest X-ray (CXR) is one of the most commonly prescribed medical imaging procedures,
often with over 2–10x more scans than other imaging modalities. These voluminous CXR …

Kidney cancer is a public health problem that affects thousands of people worldwide.
Accurate kidney tumor segmentation is an important task that helps doctors to reduce the …

Abstract Background and Purpose The precise kidney segmentation is very helpful for
diagnosis and treatment planning in urology, by giving information about malformation in the …

Background: The precise segmentation of kidneys and kidney tumors can help medical
specialists to diagnose diseases and improve treatment planning, which is highly required in …

The cardiothoracic ratio (CTR), a clinical metric of heart size in chest X-rays (CXRs), is a key
indicator of cardiomegaly. Manual measurement of CTR is time-consuming and can be …

In this study, we investigate the detection of cardiomegaly on frontal chest radiographs
through two alternative deep-learning approaches-via anatomical segmentation and via …

We propose a deep learning framework to improve segmentation accuracy of the lung
region in Chest X-Ray (CXR) images. The proposed methodology implements a “divide and …

Background and purpose The precise segmentation of the kidneys in computed tomography
(CT) images is vital in urology for diagnosis, treatment, and surgical planning. Medical …

Interpreting chest x-ray (CXR) to find anomalies in the thoracic region is a tedious job and
can consume an ample amount of radiologist's time when there are thousands of them to …