Intelligent Screening Systems for Cervical Cancer

TLDR

The advent of medical image digitalization has enabled computer‑aided diagnosis systems across many clinical applications, offering automated diagnosis and second‑opinion support for pathologists. The paper reviews cervical screening techniques, outlining their advantages and disadvantages. The system processes digital screening data through enhancement, feature extraction, feature selection, and classification stages. Using cytology and electromagnetic spectra data, the system achieved higher accuracy than other data sources.

Abstract

Advent of medical image digitalization leads to image processing and computer-aided diagnosis systems in numerous clinical applications. These technologies could be used to automatically diagnose patient or serve as second opinion to pathologists. This paper briefly reviews cervical screening techniques, advantages, and disadvantages. The digital data of the screening techniques are used as data for the computer screening system as replaced in the expert analysis. Four stages of the computer system are enhancement, features extraction, feature selection, and classification reviewed in detail. The computer system based on cytology data and electromagnetic spectra data achieved better accuracy than other data.