Pap Smear Images Classification for Early Detection of Cervical Cancer
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...
متن کاملScreening for cervical cancer by Pap smear.
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...
متن کاملPap Smear Screening Test and It’s Applications in Cervical Cancer Detection and Classification
A large group of women population, in the world is affected by the cervical cancer in their different age groups. Hence, most of the researchers, pathologists and also more number of collegiate have provided more number of solutions, to identify this cancer from the test images of pap smear screening test. But their results represent, only to an extent, whether the patient is affected by cancer...
متن کاملOn the importance of nucleus features in the classification of cervical cells in Pap smear images
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...
متن کاملAutomated Algorithm for Segmentation of Pap Smear Image for Cervical Cancer Detection
Cervical cancer is the second most common gynecologic cancer worldwide. Unlike the other cancers it does not show any symptoms in its earlier stage which causes mortality among women. It takes 8 to 10 years to develop from precancerous to severe stage. The important reasons for higher cervical cancer in developing countries are lack of resources, lack of effectual screening programs and inadequ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2015
ISSN: 0975-8887
DOI: 10.5120/20756-3159