Breast Cancer Detection Using Deep learning and IoT Technologies.

Abstract In today’s world fostering health is of utmost importance. The prevalence of health issues has posted a serious burden on the doctors across the globe and because of this treating every patient efficiently becomes difficult. To ease the burden on the doctors there have been significant revolutionizing ideas that has changed the healthcare industry. With the advancements in computer technology, accurate and faster results can be generated and accordingly the patients can be treated. Detection of cancer in early stages is still an issue in the healthcare. According to the World Health Organization, the diagnosis and eradication of cancer cells can be done, if they are detected in their early stages. Hence, to mitigate the issues pertaining to cancer, early detection of cancer cells is must. Of all the different types of cancer the patients being affected with breast cancer is at the top. Many women are vulnerable to breast cancer and hence the detection of those cancer cells becomes important to eradicate them from the patient’s body. According to the WHO, around a million women died in 2011 because of breast cancer and this issue is burgeoning. Breast cancer is the second most common cancer in women and men worldwide. In 2012, it represented about 12 percent of all new cancer cases and 25 percent of all cancers in women.Breast cancer enhances when cells in the breast begin to grow out of control. These cells usually form a tumour that can often be seen on an x-ray or felt as a lump. The tumour is malignant (cancer) if the cells can grow into (invade) encompassing tissues or spread (metastasize) to far off territories of the body. The survival from breast cancer is also less. This paper tries to put forward a solution that could help the patient determine whether she is vulnerable to breast cancer at an early stage itself so that with proper treatment, the breast cancer cells can be eradicated.