Diagnostic Classification of Cervical Cell Images from Pap Smear Slides
نویسندگان
چکیده
منابع مشابه
Automated classification of Pap smear images to detect cervical dysplasia
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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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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Between November 1986 and February 1988, 2806 cervical smears were taken from every patient attending the Obstetrics and Gynaecology consulting clinics at The Aga Khan University Hospital (AKUH) Karachi. Of 2806 smears 2774 (98.9%) were adequate, cytology was positive in 35, a prevalence rate of 12.6 per 1000. The highest incidence was in the age group of 2544 years. Eighty percent patients wit...
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The automated diagnosis of cervical cancer in Pap smear images is a difficult though extremely important procedure. In order to obtain reliable diagnostic information, the nuclei and their characteristics must be correctly identified and evaluated. However, the presence of inflammatory and overlapping cells in these images complicates the detection process. In this work, a segmentation algorith...
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ژورنال
عنوان ژورنال: Academic Perspective Procedia
سال: 2019
ISSN: 2667-5862
DOI: 10.33793/acperpro.02.03.116