This paper overviews one of the most important, interesting, and challenging problems in
oncology, the problem of lung cancer diagnosis. Developing an effective computer-aided …

In this paper, we propose a new classification method for five categories of lung tissues in
high-resolution computed tomography (HRCT) images, with feature-based image patch …

There is an urgent need to develop and integrate new statistical, mathematical, visualization,
and computational models with the ability to analyze Big Data in order to retrieve useful …

AIM To develop a screening tool for the detection of interstitial lung disease (ILD) patterns
using a deep-learning method. MATERIALS AND METHODS A fully convolutional network …

Optical coherence tomography (OCT) is a noninvasive imaging technique that has been
used increasingly to diagnose and manage a variety of retinal diseases. OCT enables …

Purpose: The authors propose 3D (2D+ time) novel, fast, robust, bidirectional coupled
parametric deformable models that are capable of segmenting left ventricle (LV) wall …

Blood pressure (BP) changes with age are widespread, and systemic high blood pressure
(HBP) is a significant contributor for strokes and cognitive impairment. A non-invasive …

We propose a novel, fast, robust, bi-directional coupled parametric deformable model to
segment the left ventricle (LV) wall borders using first-and second-order visual appearance …

A new 3D segmentation method based on the level set technique is proposed. The main
contribution is a robust evolutionary model that requires no fine tuning of parameters. A …

This chapter overviews one of the most critical problems in urology, namely detection of
acute renal transplant rejection. Developing an effective, fast, and accurate computer-aided …