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Segmentation of MR images using machine learning algorithms

By Jan Dorazil

Abstract

This thesis concerns with magnetic resonance image segmentation using Random Forests algorithm. Employed technologies accomplishing the specified task include C++ progra- mming language with libraries ITK and OpenCV. This work descibes the technique of processing images from loading through preprocessing to the actual segmentation. The outcome from this work is a programme that automatically segmentates MR images of mouse’s head to the brain and the surroundings

Topics: segmentation; ITK; strojové učení; randomforest; machine learning; OpenCV; MRI; segmentace; MR; random forest
Publisher: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Year: 2015
OAI identifier: oai:invenio.nusl.cz:243848
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