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What is Skin Cancer Classification with Deep Learning about?

The article discusses a hybrid deep learning approach for the automatic classification of malignant and benign skin cancer, utilizing various machine learning techniques such as deep neural networks and support vector machines. The proposed method achieved a classification accuracy of 90.9% using a dataset of 1000 skin images, demonstrating improved performance over traditional methods. The study emphasizes the importance of early detection and the potential of automated systems in enhancing skin cancer dia

Author

nn4529206

Language

EN