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 …

This paper explores various methods that have been proposed for the segmentation of the
cerebrovascular structure. All of the methods listed are a combination old, new, automatic …

Purpose Detection (diagnosis) of diabetic retinopathy (DR) in optical coherence tomography
(OCT) images for patients with type 2 diabetes, but almost clinically normal retina …

Medical imaging plays an important role in monitoring the patient's health condition and
providing an effective treatment. However, the existence of several objects overlapping in an …

To accurately segment pathological and healthy lungs for reliable computer-aided disease
diagnostics, a stack of chest CT scans is modeled as a sample of a spatially inhomogeneous …

Cerebrovascular segmentation in time-of-flight magnetic resonance angiography (TOF-
MRA) volumes is essential for a variety of diagnostic and analytical applications. However …

Hypertension is a severe and highly prevalent disease. It is considered a leading contributor
to mortality worldwide. Diagnosis guidelines for hypertension use systolic and diastolic …

This book provides a brief introduction to medical imaging, stochastic modeling, and model-
guided image analysis. It presents the latest state of the art in stochastic modeling for …

A new technique for more accurate automatic segmentation of the kidney from its
surrounding abdominal structures in diffusion-weighted magnetic resonance imaging (DW …

A novel framework for the classification of acute rejection versus nonrejection status of renal
transplants from 2-D dynamic contrast-enhanced magnetic resonance imaging is proposed …