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Proceedings Paper

Classification of CT-brain slices based on local histograms
Author(s): Oleg G. Avrunin; Maksym Yu. Tymkovych; Sergii V. Pavlov; Sergii V. Timchik; Piotr Kisała; Yerbol Orakbaev
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Paper 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.

Paper Details

Date Published: 17 December 2015
PDF: 8 pages
Proc. SPIE 9816, Optical Fibers and Their Applications 2015, 98161J (17 December 2015); doi: 10.1117/12.2229040
Show Author Affiliations
Oleg G. Avrunin, Kharkiv National Univ. of Radio Electronics (Ukraine)
Maksym Yu. Tymkovych, Kharkiv National Univ. of Radio Electronics (Ukraine)
Sergii V. Pavlov, Vinnytsia National Technical Univ. (Ukraine)
Sergii V. Timchik, Vinnytsia National Technical Univ. (Ukraine)
Piotr Kisała, Lublin Univ. of Technology (Poland)
Yerbol Orakbaev, Kazakh National Research Technical Univ. (Kazakhstan)


Published in SPIE Proceedings Vol. 9816:
Optical Fibers and Their Applications 2015
Ryszard S. Romaniuk; Waldemar Wojcik; Andrzej Smolarz, Editor(s)

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