Кл.слова (ненормированные):
Adaptive Median Filter -- Contrast Limited Adaptive Histogram Equalization -- Elastic Maps -- Medical Image Processing -- Noise reduction -- Adaptive filtering -- Adaptive filters -- Computational methods -- Computer aided diagnosis -- Data visualization -- Equalizers -- Graphic methods -- Image analysis -- Information systems -- Information use -- Median filters -- Medical image processing -- Medical imaging -- Noise abatement -- Pathology -- Tissue -- Tissue regeneration -- Adaptive histogram equalization -- Adaptive median filter -- Computational tools -- Computer-aided systems -- Contrast Limited Adaptive Histogram Equalization (CLAHE) -- Electron scanning microscopies -- Histological images -- Segmentation algorithms -- Image segmentation
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.
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Держатели документа:
Institute of Space and Information Technology, Siberian Federal University, Krasnoyarsk, Russian Federation
Dir. of Computer Center, University of Fallujah, Iraq
Institute of Computational Modeling, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Доп.точки доступа:
Hamad, Y.; Mohammed, O. K.J.; Simonov, K.