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ISSN 2063-5346
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EFFICIENT DIAGNOSIS OF CERVICAL CANCER USING DEEP NEURAL NETWORK

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Dr. S. Sasikala, ,Ms. N. Miruthula,Ms. A. Poornimadevi,Ms. M. Suuky,Ms. J. Subadhina
» doi: 10.48047/ecb/2023.12.si5.170

Abstract

Women all around the world are affected by cervical cancer, which is a serious public health issue. Early detection and management can decrease the morbidity and mortality linked to this condition while increasing the likelihood of successful therapy. Hence, identifying women who are at risk of acquiring this condition requires the creation of accurate cervical cancer prediction algorithm. Accuratecervical cancer prediction models have been developed in recent years using Deep Learning (DL) techniques. This paper presents a simple novel method for identifying cervical cancer and shows the stage of the cancer whether lighter, moderate or severe.The Deep leaning algorithm Artificial Neural Network(ANN) is used to identify the stage of the cervical cancer

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