A Detailed Review on Classification and Risk Factor Analysis of Cervical Cancer using Artificial Intelligence

Cancer is one of the life-threatening diseases of humans. Cervical cancer is the second most deadliest in women. It occurs due to Human Papillomavirus(HPV) infection. The HPV vaccines have been reported to have high impact in preventing its occurrence. If detected and treated at an early stage, cervical cancer can be fully cured.So regular screening for HPV is necessary. AI-assisted cancer detection can reduce human error in its detection, especially for detection at its early stages. This paper reviews different types of precancerous lesions, their classification process, detection, and the risk factors leading to cervical cancer.