Cervical cancer identification through pap-smear images analysis is a challenge for
medicians, especially in distinguishing cells, between the normal and abnormal one. This …

Cervical cancer is one of the most prevalent diseases in women ranking fourth in worldwide,
mostly occurring in less-developed countries. This is perceived when certain vagaries occur …

A comprehensive study on machine and deep learning techniques for classification of
normal and abnormal cervical cells by using pap smear images from Herlev dataset results …

Background: Early detection of cervical cancer may give life to women all over the world.
Pap-smear test and Human papillomavirus test are techniques used for the detection and …

In this study, we optimized a convolutional neural network model ie AlexNet to classify
images of cervical cancer cells. Although having canonical CNN architecture, AlexNet is …

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 …

In this paper, we propose a framework for detection and classification of cervical cancer from
pap smear images. Early detection and accurate diagnosis of cervical cancer can reduce the …

Cervical cancer is a very serious disease that deeply affects women's lives, often resulting in
death. This type of cancer, which is very common in women, is diagnosed at an early stage …

Cancer is one of the most lethal disease in the world. Therefore, early treatment of
cancerous patient is proofed effective to decrease the lethal rate of this disease. For …

Cervix cancer is one of the trivial form of cancer in women at present. In the world, it is one of
the major reasons for womens' death. Due to cervix cancer, most of the deaths are …