CLASSIFICATION OF CERVICAL CANCER

Cervical cancer( CC) is one of the main reasons of death from cancer in women. The complication of this cancer can be limited if it's diagnosed and treated at an early stage. In this design, we've proposed bracket of cervical cancer system grounded on convolutional neural networks( CNNs). The cell images are fed into a CNNs model to prize deep- learned features. Cervical cancer is screened using visual examination after operation of acetic acid( VIA), papanicolaou(Pap)test, and its also used in mortalpapillomavirus(HPV)testand also the histopathology test for confirmation. Inter- andintra-observer variability may do during the homemade opinion procedure, performing in misdiagnosis. The purpose of this study is to develop an intertwined and robust system for automatic cervix type and cervical cancer bracket using deep literacy ways.