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Title: Classification of CT-brain slices based on local histograms
Authors: Аврунін, О. Г.
Tymkovych, M.
Pavlov, S.
Timchik, S.
Kisała, P.
Orakbaev, Y.
Keywords: image processing
computed tomography
image classification
axial slices
logistic regression
feature extraction
Issue Date: 2015
Publisher: SPIE
Citation: Avrunin, O.G., Tymkovych, M.Y., Pavlov, S.V., (...), Kisała, P., Orakbaev, Y. Classification of CT-brain slices based on local histograms (2015) Proceedings of SPIE - The International Society for Optical Engineering, 98161L (December 18, 2015); doi:10.1117/12.2229074
Abstract: Neurosurgical intervention is a very complicated process. Modern operating procedures based on data such as CT, MRI, etc. Automated analysis of these data is an important task for researchers. Some modern methods of brain-slice segmentation use additional data to process these images. Classification can be used to obtain this information. To classify the CT images of the brain, we suggest using local histogram and features extracted from them. The paper shows the process of feature extraction and classification CT-slices of the brain. The process of feature extraction is specialized for axial cross-section of the brain. The work can be applied to medical neurosurgical systems.
Appears in Collections:Кафедра біомедичної інженерії (БМІ)

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