Intelligence Skin Cancer Detection using IoT with a Fuzzy Expert System

NA Al-Dmour, M Salahat, HKG Nair… - … on Cyber Resilience …, 2022 - ieeexplore.ieee.org
NA Al-Dmour, M Salahat, HKG Nair, N Kanwal, M Saleem, N Aziz
2022 International Conference on Cyber Resilience (ICCR), 2022ieeexplore.ieee.org
Skin cancer is a widespread and fatal disease in developing countries nowadays. Hence
initial phase medication is possible. Skin cancer arose due to the aberrant expansion of skin
cells. There could be many other feasible causes for skin cancer. It is so difficult to detect
skin cancer. Melanoma and non-melanoma are frequent categories of skin cancer. It is
anticipated that virtually 2000 people die due to non-melanoma lesions. In this paper
proposed skin cancer detection technique is applied using a fuzzy expert system …
Skin cancer is a widespread and fatal disease in developing countries nowadays. Hence initial phase medication is possible. Skin cancer arose due to the aberrant expansion of skin cells. There could be many other feasible causes for skin cancer. It is so difficult to detect skin cancer. Melanoma and non-melanoma are frequent categories of skin cancer. It is anticipated that virtually 2000 people die due to non-melanoma lesions. In this paper proposed skin cancer detection technique is applied using a fuzzy expert system established on asymmetry, color, border, evolving, and diameter. Simulation results show better results than earlier published results.
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