RTU Research Information System
Latviešu English

Publikācija: A Modified Algorithm for Medical Image Segmentation

Publication Type Full-text conference paper published in other conference proceedings
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language A Modified Algorithm for Medical Image Segmentation
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Authors Aleksandrs Glazs
Andris Lubāns
Katrīna Krečetova
Keywords medical images, segmentation, pathology zone
Abstract Medical image segmentation is an actual task in biomedical engineering. It can help physicians analyse the medical image to achieve a more accurate diagnosis. The aim of this work was to develop an effective segmentation algorithm. A classic FOREL clustering algorithm was used as basis for development of the modified clustering algorithm. This paper describes the principles of the suggested method and the achieved results. The modified algorithm was tested on a tomographic image of a brain, acquired by computer tomography. The experimental results shows that the modified algorithm allows solve the problem of image segmentation more effectively than the classic FOREL algorithm.
Reference Glazs, A., Lubāns, A., Krečetova, K. A Modified Algorithm for Medical Image Segmentation. In: Biomedical Engineering: Proceedings of International Conference, Lithuania, Kaunas, 27-28 October, 2005. Kaunas: Technologija, 2005, pp.256-259. ISBN 9955-09-950-X.
ID 4417