Multiclass Classification of Cervical Pap Smear Images Using Deep Learning-Based Model
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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Classification of medical imagery is a difficult and challenging process due to the intricacy of the images and lack of models of the anatomy that totally captures the probable distortions in each structure. Cervical cancer is one of the major causes of death among other types of the cancers in women worldwide. Proper and timely diagnosis can prevent the life to some level. Consequently we have...
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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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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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ژورنال
عنوان ژورنال: Traitement Du Signal
سال: 2023
ISSN: ['0765-0019', '1958-5608']
DOI: https://doi.org/10.18280/ts.400204