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- W2983302183 abstract "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%)." @default.
- W2983302183 created "2019-11-22" @default.
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- W2983302183 date "2019-03-24" @default.
- W2983302183 modified "2023-10-05" @default.
- W2983302183 title "Evaluating of Tissue Germination and Growth Rate of ROI on Implants of Electron Scanning Microscopy Images" @default.
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- W2983302183 doi "https://doi.org/10.1145/3361570.3361598" @default.
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