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CERVICAL CANCER PREDICTION USING MACHINE ALGORITHM

Ramya R Kini, Nithya H V, Basavaraj U Kurubara

Dept of Information Science and Engineering

A J Institute of Engineering and Technology, Mangalore

ABSTRACT--One of the most well-known cancers on the planet, cervical cancer (CC) puts human life at risk and can be exceedingly challenging to treat once it has taken hold in our bodies. This interaction was familiar with work on the analytic precision of Cervical Cancer in such dataset photographs to work on the location and expectation of the illness. In light of the convolutional brain organisation (Convolutional Neural Network) with a rather basic design compared to others, we therefore tried to present a wise and effective grouping model for Cervical Cancer. In a similar vein, we offered a straightforward and useful method for classifying Cervical Cancer from Cytological Images with effective component extraction or precise cell picture division work. This technique aims to accurately and precisely forecast cervical cancer and also indicates the cancer's stage. The technology then automatically generates the diagnosis step that the patient can follow after detecting the stage. helping patients take the required actions to recover from this dangerous illness before it becomes life-threatening. The physical comments on ground truth and other sophisticated cell placement computations are contrasted with the results of the programmed cell identification.