Image segmentation is one of the significant techniques in image processing to distinguish desired parts from its background for further analysis. It provides visual means for inspection of anatomical structure of human body, identification of disease, tracking of its development and input for surgical planning and simulation. Active contour models are regarded as promising and vigorously resea...

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In late June 2000, researchers at the forefront of radiology, surgery, and engineering presented the latest advances in medical imaging technologies and image-guided surgery at the annual conference of Computer Assisted Radiology and Surgery (CARS). This document highlights presentations from the panel representing the International Society for Computer Assisted Surgery (ISCAS), along with inpu...

Designing and developing computer-assisted image processing techniques to help doctors improve their diagnosis has received considerable interests over the past years. In this paper, we used the kolmogorov complexity model to analyze the CT images of the healthy liver and multiple daughter hydatid cysts. Before the complexity characteristic calculating, the image preprocessing methods had been ...

The segmentation of a digital mammogram into breast region and film background is a necessary prerequisite in the computer-assisted diagnosis of mammograms. The segmentation method should be robust enough to handle a wide variety of digital mammograms obtained from different image acquisition systems. In addition, the large size of digitized mammograms requires an efficient image processing sys...

Demand of high speed production not only increases the complexity of today’s CNC process, but also increases the risks and possibility of collision because of the difference between real (machining) and virtual scenes (CAD/CAM process). Idea here is to make this process more intelligent by processing image taken from the real or virtual machine scenes. Identify objects (already known in the CAD...

Diagnosing illnesses, developing and comparing treatment methods, and conducting research on the organization of the peripheral nervous system often require the analysis of peripheral nerve images to quantify the number, myelination, and size of axons in a nerve. Current methods that require manually labeling each axon can be extremely time-consuming as a single nerve can contain thousands of a...

Lung diseases are the most common diseases which cause mortality worldwide. Different techniques are available for lung segmentation. Developing an effective computer-aided diagnosis (CAD) system for detecting lung diseases is of great clinical importance and can increase the patient’s chance of survival. In the present paper, segmentation techniques and the segmentation results after applying ...