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- W2393874283 abstract "Objective To investigate an effective algorithm for image segmentation in cervical cancer cell adhesion,which enables accurate segmentation of the contour of adherent cells.Methods The images of target cells were extracted from the background area using level set methods,normalized with minimum values of transformation algorithms,and multiplied by the gradient image points in the region of interest(ROI) to inhibit the undesired gradient information before the images of adherent cells were segmented using labeled watershed algorithm.Results and Conclusion Compared to conventional watershed segmentation methods,this algorithm is not only effective in image segmentation of adherent cervical cancer cells with uneven staining and more accurate segmentation lines established around the contours of adherent cells,but of high clinical value." @default.
- W2393874283 created "2016-06-24" @default.
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- W2393874283 date "2014-01-01" @default.
- W2393874283 modified "2023-09-26" @default.
- W2393874283 title "A new modified watershed algorithm for image segmentation in cervical cancer cell adhesion" @default.
- W2393874283 hasPublicationYear "2014" @default.
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