Deep learning technology has been used in the medical field to produce devices for clinical
practice. Deep learning methods in cytology offer the potential to enhance cancer screening …

Background The incidence rates of cervical cancer in developing countries have been
steeply increasing while the medical resources for prevention, detection, and treatment are …

Cervical cancer (CC) is the fourth most common malignant tumor among women worldwide.
Constructing a high-accuracy deep convolutional neural network (DCNN) for cervical cancer …

Simple Summary In this pilot study, we aimed to investigate the use of deep learning for the
classification of whole-slide images of liquid-based cytology specimens into neoplastic and …

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 cancers in daily life. Early detection and
diagnosis can effectively help facilitate subsequent clinical treatment and management. With …

Cervical cancer is a significant global health issue, its prevalence and prognosis
highlighting the importance of early screening for effective prevention. This research aimed …

Cervical cancer is the fourth most common type of cancer found in females with a record of
570,000 incidences and 311,000 deaths in the year 2018 worldwide. It is caused by a virus …

Currently, the Thinprep cytologic test (TCT) is the most popular cervical cancer cytology test
technique. It can detect precancerous conditions and microbial infections. However, this …

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 …