Applied Numerical Methods for Engineers Using MATLAB
Applied Numerical Methods for Engineers Using MATLAB
Handbook of Computer Vision Algorithms in Image Algebra
Handbook of Computer Vision Algorithms in Image Algebra
Genetic Snakes for Medical Images Segmentation
EvoIASP '99/EuroEcTel '99 Proceedings of the First European Workshops on Evolutionary Image Analysis, Signal Processing and Telecommunications
Efficient liver segmentation based on the spine
ADVIS'04 Proceedings of the Third international conference on Advances in Information Systems
Automatic Segmentation of Single and Multiple Neoplastic Hepatic Lesions in CT Images
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Automatic Segmentation of Neoplastic Hepatic Disease Symptoms in CT Images
MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence
Gallbladder boundary segmentation from ultrasound images using active contour model
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
Gallbladder segmentation in 2-D ultrasound images using deformable contour methods
MDAI'10 Proceedings of the 7th international conference on Modeling decisions for artificial intelligence
Automatic Liver Segmentation from 2D CT Images Using an Approximate Contour Model
Journal of Signal Processing Systems
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The segmentation of the liver structure from a computed tomography (CT) image is an important function of the software designed to assist liver diagnostics, because it allows for the elimination of excess information from the diagnostic process. In this paper, the task of segmentation has been implemented through first finding the contour of the liver which is made up of a finite number of joint polylines approximating individual fragments of the liver boundary in the CT image. Next, the field outside the contour is divided into two polygons and eliminated from the image. The initial reference point for the calculations is the lumbar section of the spine which is a central point of any CT image of the liver. The automatic method of segmentation is to be used in a dedicated computer system designed to diagnose liver patients.