Abstract
Cervical cancer is the most frequent cancer in women and is a leading cause of death, especially in developing countries, although it can be efficiently treated if found early. Cervical cancer screening is done through Pap smear, which is highly vulnerable to human errors and is time consuming. Thus, in this review, we present the various automated AI techniques for cervical cancer diagnosis which prevent the human loss, further spread of cancer and are far better than manual analysis approaches. The work presents a comprehensive review of AI techniques in diagnosing of cervical cancer in last 5 years. The datasets, total images, and accuracy achieved by these state-of-the-art techniques have been highlighted properly.
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Nazir, N., Saini, B.S., Sarwar, A. (2023). Early Diagnosis of Cervical Cancer Using AI: A Review. In: Singh, Y., Singh, P.K., Kolekar, M.H., Kar, A.K., Gonçalves, P.J.S. (eds) Proceedings of International Conference on Recent Innovations in Computing. Lecture Notes in Electrical Engineering, vol 1001. Springer, Singapore. https://doi.org/10.1007/978-981-19-9876-8_9
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DOI: https://doi.org/10.1007/978-981-19-9876-8_9
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