Cervical cancer is one of the most common cancers in daily life. Early detection and
diagnosis can effectively help facilitate subsequent clinical treatment and management. With …

Computational cytology is a critical, rapid-develo**, yet challenging topic in medical
image computing concerned with analyzing digitized cytology images by computer-aided …

Cervical cancer is the seventh most common cancer among all the cancers worldwide and
the fourth most common cancer among women. Cervical cytopathology image classification …

Cervical cancer is a common type of cancer in women worldwide. Detection of this type of
cancer in the early stages is very important for the treatment process. Early …

Cervical cancer is a worldwide public health problem with a high rate of illness and mortality
among women. In this study, we proposed a novel framework based on Faster RCNN-FPN …

Cervical cytology image classification is of great significance to the cervical cancer
diagnosis and prognosis. Recently, convolutional neural network (CNN) and visual …

Abstract Background and Objectives Cervical cancer affects around 0.5 million women per
year, resulting in over 0.3 million fatalities. Therefore, repetitive screening for cervical cancer …

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 …

Background Cervical cell segmentation is a fundamental step in automated cervical cancer
cytology screening. The aim of this study was to develop and evaluate a deep ensemble …

Liquid-based cytology (LBC) plays a crucial role in the effective early detection of cervical
cancer, contributing to substantially decreasing mortality rates. However, the visual …