Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/158760| Title: | Superpixel co-occurrence for quantitative description of biomedical Images |
| Authors: | Liauchuk, V. Kovalev, V. |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика ЭБ БГУ::ТЕХНИЧЕСКИЕ И ПРИКЛАДНЫЕ НАУКИ. ОТРАСЛИ ЭКОНОМИКИ::Медицина и здравоохранение |
| Issue Date: | 2016 |
| Publisher: | Minsk: Publishing Center of BSU |
| Abstract: | With this study, a method for quantitative description of biomedical images based on splitting the target image into superpixels followed by categorization using pre-calculated superpixel dictionaries and calculation of co-occurrence matrices is proposed. The method has been tested on the classification of biomedical images of three types: lung CT images, histology images of ovary and thyroid tissues. |
| URI: | http://elib.bsu.by/handle/123456789/158760 |
| Appears in Collections: | 2016. PATTERN RECOGNITION AND INFORMATION PROCESSING (PRIP’2016) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Liauchuk_Kovalev.pdf | 528,93 kB | Adobe PDF | View/Open |
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