LEVEL SETS AND COMPUTATIONAL INTELLIGENCE ALGORITHMS TO MEDICAL IMAGE ANALYSIS IN E-MEDICUS SYSTEM


Abstract

In this work, there were implemented methods to analyze and segmentation medical images by using topological, statistical algorithms and artificial intelligence techniques. The solution shows the architecture of the system collecting and analyzing data. There was tried to develop an algorithm for level set method (LSM) applied to piecewise constant image segmentation. These algorithms are needed to identify arbitrary number of phases for the segmentation problem. The image segmentation refers to the process of partitioning a digital image into multiple regions. There is typically used to locate objects and boundaries in images. There was also shown an algorithm for analyzing medical images using a neural network MLP.


Keywords

segmentation; image analysis; level set method

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Published : 2017-03-03


Rymarczyk, T. (2017). LEVEL SETS AND COMPUTATIONAL INTELLIGENCE ALGORITHMS TO MEDICAL IMAGE ANALYSIS IN E-MEDICUS SYSTEM. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 7(1), 63-67. https://doi.org/10.5604/01.3001.0010.4585

Tomasz Rymarczyk  tomasz.rymarczyk@netrix.com.pl
Netrix S.A., Research and Development Center  Poland