Automated cervical cancer screening through image analysis
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چکیده
منابع مشابه
I-1: Screening of Subfertile Men for Testicularlar Carcinoma In Situ by An Automated Image Analysis-Based Cytological Test of The Ejaculate
Background: Testicular cancer (TC) is usually diagnosed after manifestation of an overt tumour. Tumour formation is preceded by a pre-invasive and asymptomatic stage, carcinoma in situ (CIS) testis, except for very rare subtypes. The CIS cells are located within seminiferous tubules but can be exfoliated and detected in ejaculates with specific CIS markers. Materials and Methods: We have built ...
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Malm, P. 2013. Image Analysis in Support of Computer-Assisted Cervical Cancer Screening. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1106. 95 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-8828-4. Cervical cancer is a disease that annually claims the lives of over a quarter of a million women. A substantial number of these de...
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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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Background: Cervical cancer remains the leading cause of cancer death among women in developing country. In Iraqi Kurdistan Region, few women undergo screening and the incidence of cervical cancer is on the increase as is the case in most developing countries. The purpose of this study was to explore women’s individual factors affecting the performance of the cervical cancer screening in ...
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In colposcopy, mosaic and punctation are two major abnormal vessels associated with cervical intraepithelial neoplasia (CIN). Detection and characterization of mosaic and punctation in digital cervical images is a crucial step towards developing a computer-aided diagnosis (CAD) system for cervical cancer screening and diagnosis. This paper presents automated techniques for detection and charact...
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