Rahadian Kurniawan

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The task of epithelial cells counting of pap smears images is still a burden for the pathologists. The computer-assisted system to address this challenge will benefit them. However, identification of epithelial cells is nontrivial task due to the complexity nature of pap smears data. This article proposes combination of distance-metric and Fuzzy C-Means(More)
Nuclei segmentation of the epithelial cells of a Pap smear image is an important step in order to have correct morphometric measures. This task is non trivial due to the complexities of the Pap smear images. Our paper presents a novel method on nuclei segmentation using morphological operation and watershed transformation. The proposed segmentation method(More)
In this work, we propose a novel method for the automated detection of cervical ephitelial cell numbers in Pap smear images, which may contain overlapping nuclei and inflammatory cells. There are three main phases to detect the number of nuclei in this paper. First, the detection of the nuclei areas is based on a morphological image and segmentation of the(More)
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