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Conference publications

Using Principles of Soft Modeling for Classification of Medical Images

Belyaev I.A., Kucheryavski S.V.

Russia, Barnaul

"Математика. Компьютер. Образование". Cб. трудов XIV международной конференции. Под общей редакцией Г.Ю. Ризниченко Ижевск: Научно-издательский центр "Регулярная и хаотическая динамика", 2007. Vol. 2, 392pp. Pp. 355-361.

Methods for processing and analysis of medical images are observed. A method for recognition and classification of white blood cells, based on principles of soft modeling is proposed. Angle Measure Technique are used for construction of feature vectors and PLS discriminant analysis is used for model construction and classification. The method is tested on the low-quality images of blood smears and shows high level of cell type recognition.



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