A survey on cervical cancer detection using intelligent approaches
M. Sharon, Vijayakumar Adaickalam · A.A. Balkema eBooks · 2025
The Cervical cancer is one of the most common disease illnesses among the women life across the world. The timely cancer detection will prevent the death rate and the accuracy of disease detection should be an important to take appropriate treatment soon to recover from disease. Cancer is a condition in which some body cells proliferate uncontrollably and have the potential to spread to other organs. Cell division, the new cells are generated, which may be utilized to replace the damage the aging of human life. Women&s;s knowledge and awareness of cervical cancer is very low. It is the most fatal illness that results from unchecked cell development in the body; it kills 9.6 million people worldwide every year approximately. The majority of cervical cancer deaths—85–90% of them—occur in low- and middle-income citizens because of a general lack of knowledge about the signs and symptoms of the illness. The manual detection not at all producing accurate results to identify the disease because of identify through manual and existing system will take more time, but same time the efficient cervical cancer detection technologies using machine learning and deep learning approaches will assets to attain more accuracy to predict it.