NEURAL NETWORK AND CONVOLUTIONAL ALGORITH TO EXTRACT SHAPES BY E-MEDICUS APPLICATION
Tomasz Rymarczyk
tomasz@rymarczyk.com1Research and Development Center, Netrix S.A., Lublin, 2University of Economics and Innovation in Lublin (Poland)
Barbara Stefaniak
Research and Development Center, Netrix S.A., Lublin (Poland)
Przemysław Adamkiewicz
Research and Development Center, Netrix S.A., Lublin (Poland)
Abstract
The solution shows the architecture of the system collecting and analyzing data. There was tried to develop algorithms to image segmentation. These algorithms are needed to identify arbitrary number of phases for the segmentation problem. With the use of algorithms such as the level set method, neural networks and deep learning methods, it can obtain a quicker diagnosis and automatically marking areas of the interest region in medical images.
Keywords:
image analysis, level set method, artificial intelligence algorithmsReferences
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Authors
Tomasz Rymarczyktomasz@rymarczyk.com
1Research and Development Center, Netrix S.A., Lublin, 2University of Economics and Innovation in Lublin Poland
Authors
Barbara StefaniakResearch and Development Center, Netrix S.A., Lublin Poland
Authors
Przemysław AdamkiewiczResearch and Development Center, Netrix S.A., Lublin Poland
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