Conventional methods of lung segmentation rely on a large gray value contrast between
lung fields and surrounding tissues. These methods fail on scans with lungs that contain …

Image segmentation is often the first step in image analysis. Its goal is to simplify or change
the representation of an image into something more meaningful or easier to analyze …

Cardiovascular disease is the leading cause of death worldwide and for this reason
computer-based diagnosis of cardiac diseases is a very important task. In this article, a …

In this paper we present a novel viewpoint independent range image segmentation and
recognition approach. We generate a library of 3D models off-line and represent each model …

In medical image analysis, atlas-based segmentation has become a popular approach.
Given a target image, how to select the atlases with the similar shape of anatomical structure …

A wide range of different image modalities can be found today in medical imaging. These
modalities allow the physician to obtain a non-invasive view of the internal organs of the …

In this thesis, we propose novel unsupervised detection methods for abnormalities in MRI
images. Most research focus has been on supervised segmentation to localize pathological …

Σκοπός: Η ποσοτικοποίηση του όγκου του κόγχου αλλά και των περιεχόμενων δομών του
κόγχου είναι ένα απαραίτητο εργαλείο, για την διαχείριση πολλών παθολογικών καταστάσεων …

In modern day hospitals, there is an increase in the use of computers and software solutions
to aid doctors in the analysis, diagnosis and treatment of various ailments and conditions …

We develop a holistic model of transformation. Model development is grounded in current
transformation theory. We embarked on this daunting task because we believe that holism …