Abstract
In the current day, melanoma, basal cell carcinoma, and squamous cell carcinoma remains to be the three most common kinds of skin cancer. The likelihood of survival is exceedingly poor for patients with melanoma, making it the most dangerous type of cancer. The victim's chances of survival can only be boosted by detecting the melanoma cancer cells at an early stage. Modern skin cancer detection equipment classifies cancer cells using different algorithms based on machine learning and deep learning. In-depth learning examines the findings state-by-state and provides an in-depth analysis of the technology research for skin cancer diagnosis.
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