Anzeige
Erschienen in:
2013 | OriginalPaper | Buchkapitel
Semi-automatic Ultrasound Medical Image Recognition for Diseases Classification in Neurology
verfasst von : Jiří Blahuta, Tomáš Soukup, Petr Čermák, David Novák, Michal Večerek
Erschienen in: Advances in Intelligent Analysis of Medical Data and Decision Support Systems
Verlag: Springer International Publishing
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by (Link öffnet in neuem Fenster)
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.
