Automatic lung nodule detection has great significance for treating lung cancer and
increasing patient survival. This work summarizes a critical review of recent techniques for …

When dealing with computed tomography volume data, the accurate segmentation of lung
nodules is of great importance to lung cancer analysis and diagnosis, being a vital part of …

Neonatal jaundice is a common condition that occurs in newborn infants in the first week of
life. Today, techniques used for detection are required blood samples and other clinical …

Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis that
produces pulmonary damage. Radiological imaging is the preferred technique for the …

Objective Assessment of coronary stenosis severity is crucial in clinical practice. This study
proposes a novel method to generate 3D models of stenotic coronary arteries, directly from …

Fast methods are very popular algorithms to compute time-of-arrival maps (distance maps
measured in time units) solving the Eikonal equation. Since fast marching was proposed in …

Automated segmentation of kidneys in three-dimensional (3-D) abdominal ultrasound
volumes is a task of paramount importance in automated diagnosis of abdominal trauma …

Purpose: Intravascular ultrasound (IVUS) is a vascular imaging technique that is used to
study atherosclerosis since it has the ability to show the lumen and the vessel wall. Cross …

Objective To assess and compare volumetric and shape changes of the orbital cavity in
patients treated with tooth-borne (TB) and bone-borne (BB) rapid maxillary expansion …

Photospheric magnetic fields are manifested as sunspots, which cover various sizes over
high-resolution, full-disk, solar continuum images. This paper proposes a novel deep …