Python Image Processing - Skin Cancer Detection using Deep Learning - ClickMyProject
The largest organ of our human body is skin and skin cancer is most predominate type of cancer that influences millions of people per annum.
Survival rate of patients decreases steeply if cancer is not detected in early stages. However, early detection of cancer is a very strenuous and costly process. The skin cancer dataset consists of benign and malignant skin cancer dataset.
Therefore, identification of cancerous skin lesion in early stages is a difficult matter. In this process we are going to discuss various technologies that can be used for skin cancer detection and classification and their results.
The common approach for early detection of skin lesion is divided into four steps they are as follows: pre-processing, segmentation, feature extraction, and classification. The sparse stack auto encoder and decoder with deep learning algorithm is used to identify the skin cancer disease. It will helps to easily identify earlier stage of skin cancer.
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