Integument Neoplasm Detection using Convolution Neural Network

Nowadays, skin cancer, especially melanoma skin cancer, is a serious health concern. In general, most skin cancers can be treated if they are found in their earliest stages. The best way to deal with this issue is to try to spot it as early as possible and have some little surgery to fix it. The proposed approach, which uses images, could help a dermatologist diagnose this kind of skin cancer early. An advanced convolutional neural network (CNN), a type of deep learning model, is fed the augmented images. The classifier, which is trained using a huge number of training data, is capable of predicting certain types of skin cancer, including melanoma, benign keratosis, vascular lesions, and dermatofibroma.