Segmentation of Overlapping Cervical Cells in Normal Pap Smear Images Using Distance-Metric and Morphological Operation
نویسندگان
چکیده
منابع مشابه
Segmentation of Stretched Pap Smear Cytology Images using Clustering Algorithm
Papanicolaou test or better known as Pap test is the most popular and effective screening test for cervical cancer. At time, however, the detection of abnormal or cancerous cervical cells can be missed due to technical and human errors. In certain cases, the Pap smear images are blurred and highly affected by unwanted noises. These factors can hide and obscure the important cervical cells morph...
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In this paper an automated method for cell nucleus segmentation in PAP smear images is presented. The method combines the global knowledge about the cells and nuclei appearance and the local characteristics of the area of the nuclei, in order to achieve an accurate nucleus boundary. Filters and morphological operators in all three channels of a color image result in the determination of the loc...
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BACKGROUND AND OBJECTIVES The present study proposes an intelligent system for automatic categorization of Pap smear images to detect cervical dysplasia, which has been an open problem ongoing for last five decades. METHODS The classification technique is based on shape, texture and color features. It classifies the cervical dysplasia into two-level (normal and abnormal) and three-level (Nega...
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Separating the overlapped cells in microscopic Pap smear images is an important step for automating the early detection of cervical cancer. Existing methods have not attempted a complete overlapping cell separation due to the challenges involved in delineating cells with severe overlap and poor contrast. This paper, proposes a two phase approach to segment nuclei and cytoplasm region from the c...
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In this work, we investigate the classification of cervical cells by exploiting only the nucleus features and not taking into account the features extracted from the cytoplasm area. This procedure is motivated by the fact that the nuclei areas can be extracted automatically from Pap smear images, in contrast to the cytoplasm segmentation which is not a solved problem yet. Furthermore, we consid...
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ژورنال
عنوان ژورنال: CommIT (Communication and Information Technology) Journal
سال: 2017
ISSN: 2460-7010,1979-2484
DOI: 10.21512/commit.v11i1.1957