Cervical abnormal cell detection is a challenging task as the morphological discrepancies
between abnormal and normal cells are usually subtle. To determine whether a cervical cell …

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

Deep learning has advanced the development of automated cervical cytology, yet limited
studies have delved into methods for incorporating medical domain knowledge, and model …

Cytology inspection is a basic examination for the prevention of cervical cancer, which is still
done manually and is a labor-intensive and time-consuming process with high inter …

Automated detection of cervical abnormal cells from Thin-prep cytologic test (TCT) images is
essential for efficient cervical abnormal screening by computer-aided diagnosis system …

Cervical abnormal cell detection plays a crucial role in the early screening of cervical
cancer. In recent years, some deep learning-based methods have been proposed. However …

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 …

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 …

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 one of the most common and deadliest cancers among women and poses
a serious health risk. Automated screening and diagnosis of cervical cancer will help …