Classification of CT-brain slices based on local histograms

Зображення мініатюри
Аврунін, О. Г.
Tymkovych, M.
Pavlov, S.
Timchik, S.
Kisała, P.
Orakbaev, Y.
Назва журналу
ISSN журналу
Назва тому
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.
Ключові слова
image processing, computed tomography, image classification, DICOM, axial slices, logistic regression, feature extraction
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