Abstract
The main aim of this work is semi-automatic ROI positionig in transcranial medical images based on multi-agent systems (MAS) in preprocessing module. Designed approach is based on image processing and is realized by means of artifical intelligence, MAS, which has been experimentally designed in Matlab software environment. Within this processing has been worked with a set of TCS static images in grayscale and binary representation to experimental testing to positioning. This designed application is used for diseases classification in neurology.
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Blahuta, J., Soukup, T., Čermák, P., Novák, D., Večerek, M. (2013). Semi-automatic Ultrasound Medical Image Recognition for Diseases Classification in Neurology. In: Kountchev, R., Iantovics, B. (eds) Advances in Intelligent Analysis of Medical Data and Decision Support Systems. Studies in Computational Intelligence, vol 473. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00029-9_11
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DOI: https://doi.org/10.1007/978-3-319-00029-9_11
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