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    Early-Stage Cervical Cancerous Cell Detection from Cervix Images Using YOLOv5

    Md Zahid Hasan Ontor1, Md Mamun Ali1, Kawsar Ahmed2,3,*, Francis M. Bui3, Fahad Ahmed Al-Zahrani4, S. M. Hasan Mahmud5, Sami Azam6

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3727-3741, 2023, DOI:10.32604/cmc.2023.032794

    Abstract Cervical Cancer (CC) is a rapidly growing disease among women throughout the world, especially in developed and developing countries. For this many women have died. Fortunately, it is curable if it can be diagnosed and detected at an early stage and taken proper treatment. But the high cost, awareness, highly equipped diagnosis environment, and availability of screening tests is a major barrier to participating in screening or clinical test diagnoses to detect CC at an early stage. To solve this issue, the study focuses on building a deep learning-based automated system to diagnose CC in the early stage using cervix… More >

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