A Comprehensive Review on Analysis of Cervical Cancer Diagnostic Techniques

Authors

  • Saranya G., Sujatha C., Chitra C.

DOI:

https://doi.org/10.17762/msea.v71i3.253

Abstract

Cervical cancer (CC) in women among the ages of 18 and 60. Cervical cancer refers to the unrestrainedexpansion of abnormal cells in the cervix area. It is very problematic to detect and classify the CC. Because it occurs without  any symptoms in the early stages. However, early detection of CC/pre-cancer can improve patient survival rates. This disease was diagnosed, using both manual and automatic detection methods. Compared with manual detection approachessuch as the pap-smear test and the LCB test, classification of normal, precancerous and cancer cells using a Convolutional Neural Network (which combines feature classification) with Deep Learning algorithms produces more accurate results. This paper examines the application of various algorithms indiagnosis of CC as well as their accuracy and performance measurement.

Downloads

Published

2022-06-09

How to Cite

Saranya G., Sujatha C., Chitra C. (2022). A Comprehensive Review on Analysis of Cervical Cancer Diagnostic Techniques. Mathematical Statistician and Engineering Applications, 71(3), 918 –. https://doi.org/10.17762/msea.v71i3.253

Issue

Section

Articles