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Following paper presents new approach to the problem of automotive Ki-67 proliferation factor estimation in breast cancer biopsy images. This method is based on context filtering with designated neighborhood masks for edge detection. Proposed method was designed to compensate two major problems: cell shape divergence from ellipse and variability of color hue along with intensity in cell staining....
The article presents an innovative approach to the automatic detection of cells nuclei in FISH microscopic images. The proposed solution is based on L2 distance function which is used in patterns recognition in images. The results of researches show that an efficient identification of cells nuclei in FISH images with the presented method is possible. The numerical results show that the accuracy of...
Refining the information about the tissue is achieved by the standardization of color in whole-slide images and digital images of tissue sections. The investigation described in this paper proposes a solution to the problems of color dissimilarity for microscope slides digitalized by various equipment. A method of color standardization using color calibration microscope slide is proposed and a piece...
This paper presents modification of conventional watershed algorithm for cell segmentation in microscopic images of desmoglein-3 stained specimen. Presented method combines color deconvolution for ihc marker separation and GVF for watershed segmentation. Conventional watershed is highly noise sensitive, which often occurs in microscopy images. Suggested solution considerably reduces over segmentation...
The article presents an algorithm of HER2/CEN17 genes biomarkers detection in CISH images (Chromogenic in situ hybridization) which supports the diagnosis of the breast cancer. The algorithm is based on morphological transformations, the usage of structural elements (strel objects) and application of distance function. The developed transformation increases the contrast between biomarkers and background...
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