Colposcopy is currently a common medical technique for preventing cervical cancer.
However, with the increase of the workload, screening by artificial vision has the problems of …

Cervical cancer is one of the most deadly and common diseases among women worldwide.
It is completely curable if diagnosed in an early stage, but the tedious and costly detection …

Automated classification of cervical cancer cells has the potential to reduce high mortality
rates due to cervical cancer in developing countries. However traditional algorithms for the …

Traditional cervical cancer diagnosis mainly relies on human papillomavirus (HPV)
concentration testing. Considering that HPV concentrations vary from individual to individual …

As one of the most common female cancers, cervical cancer often develops years after a
prolonged and reversible pre-cancerous stage. Traditional classification algorithms used for …

Advanced cervical screening via liquid-based cytology (LBC)/Pap smear is a highly efficient
precancerous cell detection tool based on cell image analysis, in which cells are classified …

Cell classification underpins intelligent cervical cancer screening, a cytology examination
that effectively decreases both the morbidity and mortality of cervical cancer. This task …

Background Deep learning has presented considerable potential and is gaining more
importance in computer assisted diagnosis. As the gold standard for pathologically …

Generative adversarial network (GAN) has become a very popular and powerful tool in the
field of medical images for generating synthetic images (mimic the images) of the original …

Cervical cancer is the fourth most common cancer worldwide, and early diagnosis is crucial
for successful treatment, as with all types of cancer. The pap-smear test is considered the …