Background Cervical cancer progresses slowly, increasing the chance of early detection of
pre‐neoplastic lesions via Pap exam test and subsequently preventing deaths. However, the …

In recent years, deep learning methods have outperformed previous state-of-the-art machine
learning techniques for several problems, including image classification. Classifying cells in …

Prevention of cervical cancer could be performed using Pap smear image analysis. This test
screens pre-neoplastic changes in the cervical epithelial cells; accurate screening can …

The Pap test is a preventive approach that requires specialized and labor-intensive
examination of cytological preparations to track potentially cancerous cells from the internal …

Despite recent advances in digital imaging, the adoption of digital cytology is challenging
due to technical limitations. This study describes our 5-year institutional experience with the …

Cervical cancer (CxCa) is preventable and treatable via vaccination and screening.
Cervicovaginal fluid (CVF) represents the physiological components of the female genital …

Background The increase in the incidence of Cervical Cancer in the female population
worldwide has been an issue that deserves further attention from the scientific community …

Precancerous lesions of human cervix uteri have a tendency for regression or progression.
In cervical intraepithelial neoplasia grade 2 (CINII) case there is an uncertainty if a lesion will …

INTRODUCTION: Cervical cancer is a deadly malignancy in the cervix, affecting billions of
women annually. OBJECTIVES: To develop deep learning-based system for effective …

Cervical cancer screening has become one of the cornerstones for preventative screening in
the gynecological world. George Papanicolaou invented this screening event, hence the …