Отрывок: Finding algorithm composition has look [33]: 𝑎(𝑥) = 𝐶 (𝐹(𝑏1(𝑥), … , 𝑏𝑇(𝑥))) = 𝑠𝑖𝑔𝑛(∑ 𝑎𝑡𝑏𝑡 𝑇 𝑡=1 (𝑥)), 𝑥 ∈ 𝑋. (4) This paper uses conjugate AdaBoost [34] algorithm for tissues discrimination (tumor, norma; MM, nevus, BCC or healthy skin) quality assessment. The boosting for B-scans uses 10 corresponding parameters as fractal dimensions (FD), counted by 1D-box-counting method (with standard deviation(SD)), 2D-differential box...
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dc.contributor.authorRaupov, D. S.-
dc.contributor.authorMyakinin, O. O.-
dc.contributor.authorBratchenko, I. A.-
dc.contributor.authorKhramov, A. G.-
dc.date.accessioned2017-05-19 10:45:14-
dc.date.available2017-05-19 10:45:14-
dc.date.issued2017-
dc.identifierDspace\SGAU\20170515\63768ru
dc.identifier.citationRaupov 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.ru
dc.identifier.urihttp://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Textural-analysis-of-skin-cancer-tumors-on-OCT-images-63768-
dc.description.abstractIn 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.ru
dc.description.sponsorshipThis 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.ru
dc.language.isoenru
dc.publisherНовая техникаru
dc.subjectMarkov random fieldsru
dc.subjecttextural analysisru
dc.subjectcomplex directional fieldru
dc.subjectfractal analysisru
dc.subjectoptical coherence tomographyru
dc.subjectHaralick featuresru
dc.subjectboostingru
dc.subjectskin cancerru
dc.titleTextural analysis of skin cancer tumors on OCT imagesru
dc.typeArticleru
dc.textpartFinding algorithm composition has look [33]: 𝑎(𝑥) = 𝐶 (𝐹(𝑏1(𝑥), … , 𝑏𝑇(𝑥))) = 𝑠𝑖𝑔𝑛(∑ 𝑎𝑡𝑏𝑡 𝑇 𝑡=1 (𝑥)), 𝑥 ∈ 𝑋. (4) This paper uses conjugate AdaBoost [34] algorithm for tissues discrimination (tumor, norma; MM, nevus, BCC or healthy skin) quality assessment. The boosting for B-scans uses 10 corresponding parameters as fractal dimensions (FD), counted by 1D-box-counting method (with standard deviation(SD)), 2D-differential box...-
Располагается в коллекциях: Информационные технологии и нанотехнологии

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