Automated Melanoma Skin Cancer Detection using Deep Learning and Computer Vision.

Melanoma, a deadly form of skin cancer, poses a significant global health challenge. Detecting melanoma early is crucial for improving patient outcomes and reducing mortality rates. To achieve accurate differentiation, deep learning models like convolutional neural networks (CNNs) will be designed and trained. Various network architectures, optimization algorithms, and regularization techniques will be investigated to achieve optimal performance.

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