Сибирский федеральный университет

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Conference on Information Systems and Technologies, ICIST 2019

Год издания: 2019

Идентификатор DOI: 10.1145/3361570.3361598

Ключевые слова: Adaptive Median Filter, Contrast Limited Adaptive Histogram Equalization, Elastic Maps, Medical Image Processing, Noise reduction

Аннотация: The emerging field of in cancer pathology (computational pathology) using histological images of biopsies is a computer aided diagnosis. This paper devoted to computational methods for assessing the indicators of the process of tissue regeneration with the release of nickel-mesh reticulated titanium implants with shape memory. Accordingly, in order to design such computer-aided system that is able to measure the implants size and growth rate, this paper presents a computational toolkit. Moreover, this toolkit used to analyze the dynamics of the process and highlight the internal geometric features of the experimental images (segmentation algorithms and visualization of spatial data). The computational tools for preprocessing visual data is the important concept solution to increase the contrast and brightness of the analyzed images based on the Contrast Limited Adaptive Histogram Equalization (CLAHE). Finally, the result of proposed technique shows that the increasing the accuracy of estimates for testing data through (15-20%). © 2019 Association for Computing Machinery.

Журнал: ACM International Conference Proceeding Series

Номера страниц: 22

Издатель: Association for Computing Machinery

• Hamad Y. (Institute of Space and Information Technology, Siberian Federal University, Krasnoyarsk, Russian Federation)
• Mohammed O.K.J. (Dir. of Computer Center, University of Fallujah, Iraq)
• Simonov K. (Institute of Computational Modeling, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, Russian Federation)

• Scopus
• Ядро РИНЦ (eLIBRARY.RU)