Artificial Intelligent System for Diagnosis of Cervical Cancer: a Brief Review and Future Outline
نویسنده
چکیده
Cervical cancer is the fourth-most universal basis of cancer and decease from cancer in women. An estimated 528,000 cases of cervical cancer occurred, with 266,000 deaths. This is about 8% of the total cases and total deaths from cancer. About 70% of cervical cancers arise in developing countries. In low-income countries, it is the most common cause of cancer death. In the design of an artificial intelligent system, image processing and classification techniques are the most important techniques. This paper aims at reviewing the various algorithms and techniques required for diagnosis of essential features for the classification of cervical cancer into three different stages of normal, Normal, Low Grade Squamus Intraepithelial (LSIL), High Grade Squamus Intraepithelial (HSIL),
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