Early detection of abnormal cervical cells in cervical cancer screening increases the
chances of timely treatment. But manual detection requires experienced pathologists and is …

Automatic detection of cervical lesion cells or cell clumps using cervical cytology images is
critical to computer-aided diagnosis (CAD) for accurate, objective, and efficient cervical …

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 …

Automated detection of cervical cancer cells/clumps has the potential to significantly reduce
error rate and increase productivity in cervical cancer screening. However, most traditional …

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 …

Cervical cancer has influenced life of women worldwide as the fourth most severe cancer.
Early screening, detection and treatment of cervical cancer notably increase the life quality …

Cervical cancer is one of the most common cancers among women. Fortunately, cervical
cancer is treatable if it is diagnosed timely and administered appropriately. The death rate of …

Cervical cancer is the fourth most prevalent disease among women. Prompt diagnosis and
its management can significantly improve patients' survival rates. Therefore, routine …

Cervical cancer is one of the most common and deadliest cancers among women. Despite
that, this cancer is entirely treatable if it is detected at a precancerous stage. Pap smear test …

Abstract Background and Objective: Computer-aided cervical cancer screening based on an
automated recognition of cervical cells has the potential to significantly reduce error rate and …