IoT Based Colonoscope
M. Raja · International Journal of Innovative Research in Advanced Engineering · 2023
Gynecological cancers are among the most common cancers in women and hence are an important public health issue. Due to the lack of cancer awareness programs, variable pathology, and dearth of proper screening facilities in developing countries such as India, most women report at advanced stages, adversely affecting the prognosis and clinical outcomes. Ovarian cancer has emerged as one of the most common malignancies affecting women in India. Cervical cancer remains the second most common cancer in women after breast cancer. The causes of cervical cancer are HPV (Human Papilloma Virus), smoking, oral contraceptives, multiple pregnancies. It can be prevented in adult women with early detection tests, such as the HPV test or PAP test, followed by treatment. Early detection tests can identify pre-cancerous lesions in the cervix, which can then be treated before the lesion develops into cervical cancer. In our proposed work, we used Machine Learning and Deep Learning algorithms to find a model capable of diagnosing cervical cancer with high accuracy and sensitivity.