Title: Textural analysis of skin cancer tumors on OCT images
Issue Date: 2017
Publisher: Новая техника
Citation: Raupov D. S. Textural analysis of skin cancer tumors on OCT images / D. S. Raupov, O. O. Myakinin, I. A. Bratchenko, A. G. Khramov // Сборник трудов III международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2017) - Самара: Новая техника, 2017. - С. 707-711.
Abstract: In this paper, we propose a report about our two years investigations in skin cancer texture analysis on OCT images from different tissues. We suggest method compiled from Haralick texture features, fractal dimension, complex directional field features and Markov random field method. Additionally, boosting has been used for the quality enhancing of the diagnosis method. We obtained precision about 90% for two classes cases and about 75% for four classes case.
URI: http://repo.ssau.ru/jspui/handle/123456789/13212
Appears in Collections:Информационные технологии и нанотехнологии

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