Abstract
Cancer is one of the most common diseases affecting humans globally of which skin cancer is one. Formerly, medical imaging techniques are designed to provide physicians with information about the body and out-of-body diseases and for their intended diagnosis. By identifying and treating the exact location of a patient's cancer cells, the patient's chances of survival greatly increase and are currently used for various classification problems. However, to achieve accurate and simple future performance, yet to be achieved and Correct treatment based on its accurate prognosis will be an important step in the evaluation of disease outcomes. At this time, freezing, axial surgery, MOH surgery, curettage, and electro dissection or cryotherapy, radiation therapy, chemotherapy, photodynamic therapy, biological therapy are several corrective tools for its treatment. The main objective of this research paper is the development of skin cancer detection techniques using finite difference time domain(FDTD) using various computer image techniques and the research paper suggests that the technique being designed has the primary ability to better diagnose skin cancer than any other current investigator.
Efficient Outcomes by a New Technique SIMBO-FDTD for Skin Cancer Detection
