Detection and Classification of Skin Cancer Using Molecular-Imaging Machine Learning (MIML) Algorithm

Skin cancer is among the most prevalent forms of the disease. The abnormal multiplication and spread of skin cells is the root cause of this disorder. And it's potent enough to infect the rest of your body as well. Skin cancer has the best prognosis and response rate to early detection. Excessive time spent in the sun's direct rays is the primary cause of skin cancer. Pale persons with compromised immune systems are at a higher risk of developing skin cancer. It occurs by a drop in melanin (pigment) synthesis in skin cells. The suggested model is constantly following and monitoring the human body. If there are suspicious changes, the proposed model will use Molecular-Imaging Machine Learning (MIML) to compare skin changes. A tissue test is often performed to confirm the diagnosis of skin disease if the patient has some serious symptoms. Since metastatic spread of basal cell carcinoma is so uncommon, a diagnosis is not often required for further testing.