• KARTHIKA.S
• Dr.K.Juliana Gnanaselvi

The fourth most prevalent chronic illness among women is cervical cancer. The skin cells and mucous film cells in the vaginal area are affected over time by disease. The World Health Organization (WHO) uses the general term "malignant growth" to refer to a group of diseases that can affect any area of the body and are incredibly harmful. Therefore, it will be highly beneficial to offer a model with exceptional precision and high accuracy for identifying at the right stage of contamination. In many medical imaging applications, artificial neural networks (ANN) play a significant role. An ANN is used to categorize the normal and abnormal cells in the cervix region of the uterus in order to discover cervical cancer cells. Because cervical cancer develops without any signs, it is particularly difficult to detect. An artificial neural network is used to distinguish between normal, abnormal, and malignant cells, producing more accurate findings than manual screening techniques like the Pap smear test and Liquid Cytology Based (LCB) test. The ANN employs a number of topologies to quickly and precisely identify cervical cells. When aberrant cervical cells are discovered in time, there is a higher chance that cervical cancer will be treated. Because manual identification requires trained pathologists, takes a long time, and is prone to error, automated methods of detecting aberrant cervical cells have been developed. Convolutional Neural Network Algorithms and machine learning algorithms will be used in this research study to produce a reliable method for diagnosing the disease as well as a full grasp of the risk factors connected to cervical cancer.

Artificial Neural Networks, Cervical Cancer, Pap Smear Test, Machine Learning, LCB.

"CLASSIFICATION OF CERVICAL CANCER PREDICTION USING NEURAL NETWORKS AND ML ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.e622-e627, November-2023, Available :http://www.jetir.org/papers/JETIR2311485.pdf

"CLASSIFICATION OF CERVICAL CANCER PREDICTION USING NEURAL NETWORKS AND ML ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppe622-e627, November-2023, Available at : http://www.jetir.org/papers/JETIR2311485.pdf