Classification of CT-brain slices based on local histograms

Oleg G. Avrunin; Maksym Yu. Tymkovych; Sergii V. Pavlov; Sergii V. Timchik; Piotr Kisała; Yerbol Orakbaev

doi:10.1117/12.2229040

17 December 2015 Classification of CT-brain slices based on local histograms

Oleg G. Avrunin, Maksym Yu. Tymkovych, Sergii V. Pavlov, Sergii V. Timchik, Piotr Kisała, Yerbol Orakbaev

Proceedings Volume 9816, Optical Fibers and Their Applications 2015; 98161J (2015) https://doi.org/10.1117/12.2229040
Event: 16th Conference on Optical Fibers and Their Applications, 2015, Lublin and Naleczow, Poland

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.

Citation Download Citation

Oleg G. Avrunin, Maksym Yu. Tymkovych, Sergii V. Pavlov, Sergii V. Timchik, Piotr Kisała, and Yerbol Orakbaev "Classification of CT-brain slices based on local histograms", Proc. SPIE 9816, Optical Fibers and Their Applications 2015, 98161J (17 December 2015); https://doi.org/10.1117/12.2229040

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