Goal: In this paper, we propose methods for (1) automatic feature extraction and
classification for acetic acid and Lugol's iodine cervigrams and (2) methods for combining …

Cervical cancer is one of the leading causes of death for women worldwide. Early detection
of cervical cancer is possible through regular screening; however, in developing countries …

Cervical cancer is known as a major health problem globally, with high mortality as well as
incidence rates. Over the years, there have been significant advancements in cervical …

To realize the automatic diagnosis of cervical intraepithelial neoplasia (CIN) cases by
preacetic acid test and postacetic acid test colposcopy images, this paper proposes a …

This paper introduces an automated computer-assisted system for the diagnosis of cervical
intraepithelial neoplasia (CIN) using ultra-large cervical histological digital slides. The …

A unified framework for a fully automated diagnostic system for cervical intraepithelial
neoplasia (CIN) is proposed. CIN is a detectable and treatable precursor pathology of …

Abstract Background and Objective Early diagnosis and classification of a cancer type can
help facilitate the subsequent clinical management of the patient. Cervical cancer ranks as …

Computer aided categorization of smear images are considered as an open problem for a
last few decades. Cervical cancer is the main cause of mortality among women population …

Cervical cancer is the second most common type of cancer for women. Existing screening
programs for cervical cancer, such as Pap Smear, suffer from low sensitivity. Thus, many …

(57) ABSTRACT Uterine cervical cancer Computer-Aided-Diagnosis (CAD) according to this
invention consists of a core processing sys tem that automatically analyses data acquired …