This study aims to apply Mask Regional Convolutional Neural Network (Mask R-CNN) to
cervical cancer screening using pap smear histological slides. Based on our current …

Cervical cancer is one of the primary causes of death in women. It should be diagnosed
early and treated according to the best medical advice, similar to other diseases, to ensure …

The primary objective of this research work is to develop a novel benchmark database of
digitized and calibrated, cervical cells obtained from slides of Papanicolaou smear test …

Cervical cancer is the fourth most prevalent disease in women. Accurate and timely cancer
detection can save lives. Automatic and reliable cervical cancer detection methods can be …

As cervical cancer is considered one of the leading causes of death for women globally,
different screening techniques have emerged. As the Papanicolaou technique generates …

This article presents the result of a comprehensive study on deep learning based Computer
Aided Diagnostic techniques for classification of cervical dysplasia using Pap smear images …

Cervical cancer is a critical imperilment to a female's health due to its malignancy and fatality
rate. The disease can be thoroughly cured by locating and treating the infected tissues in the …

Every year cervical cancer affects more than 300,000 people, and on average one woman is
diagnosed with cervical cancer every minute. Early diagnosis and classification of cervical …

Cervical cancer is one of the diseases which are most prevalent in females. This is seen
when some changes occur in a woman's cervix. To further complicate the issue these cancer …

Cervical cancer ranks as the fourth most prevalent form of cancer affecting women
worldwide and its early detection provides the opportunity to help save life. Automated …