Samara University Repository
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This is an open electronic archive created to preserve and disseminate the scientific results of our university. The works of researchers, faculty members, and students are available to everyone for academic and research purposes.
The repository contains dissertations, research articles, educational and methodological materials, monographs, and regulatory documents. The collections cover a wide range of fields: from aerospace technologies, engine engineering, and computer science to history, linguistics, mathematics, and ecology. The archive brings together the scientific heritage of the university, including materials prepared during the period of Samara State Aerospace University and Samara State University.
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| DC Field | Value | Language |
|---|---|---|
| dc.date | 2017 | |
| dc.date.accessioned | 2025-08-22T12:18:35Z | - |
| dc.date.available | 2025-08-22T12:18:35Z | - |
| dc.date.issued | 2017 | |
| dc.identifier.identifier | Dspace\SGAU\20170515\63768 | |
| dc.identifier.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. | |
| dc.identifier.uri | http://repo.ssau.ru/jspui/handle/123456789/13212 | - |
| dc.description.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. | |
| dc.description.sponsorship | This research was supported by the Ministry of Education and Science of the Russian Federation. Authors are thankful to Dr. Wei Gao from Ningbo University of Technology for Matlab code providing for denoising and fractal dimension calculating. | |
| dc.language | en | |
| dc.publisher | Новая техника | |
| dc.title | Textural analysis of skin cancer tumors on OCT images | |
| dc.type | Article | |
| local.identifier.olduri | http://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Textural-analysis-of-skin-cancer-tumors-on-OCT-images-63768 | |
| local.identifier.olduri | http://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Textural-analysis-of-skin-cancer-tumors-on-OCT-images-63768 | |
| Appears in Collections: | Информационные технологии и нанотехнологии | |
| File | Description | Size | Format | |
|---|---|---|---|---|
| paper 131_707-711.pdf | Основная статья | 493.23 kB | Adobe PDF | View/Open |
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