Skin Disease Detection using Machine Learning

Cancer is a serious illness due to someone’s abnormal cell growth that can spread throughout the body. Although skin cancer is uncommon, it is still quite dangerous. Basal cell carcinoma, squamous cell carcinoma, and melanoma are the three main skin cancer types. In the U.S., melanoma is 1% of skin cancer cases, but it is the reason for the most skin cancer deaths. The American Cancer Society estimated that about 8,430 melanoma deaths will occur in 2025, 5470 of whom are men and 2960 are women. Fortunately, the death rates from melanoma are decreasing much more thanks to better treatments from 2013 to 2022. To effectively treat skin cancer, it should be detected early. When necessary, the diagnostic process usually begins with a clinical examination by a dermatologist, followed by a dermoscopy, then a biopsy, and a histopathological evaluation. These diagnostic steps can take several weeks in total. Many healthcare professionals argue that early diagnosis brings greater success. Machine learning algorithms can help detect skin cancer quickly, which can ultimately improve the prognosis of the patient.