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What is Skin Cancer Detection with CNN Models about?

This thesis presents a method for detecting and classifying skin cancer using multiple optimized deep convolutional neural networks (CNNs). The study utilizes pre-trained CNN models like VGG19, VGG16, ResNet50, and InceptionV3, focusing on achieving high accuracy with both large and small datasets. The research highlights the significance of skin cancer detection, particularly melanoma, and aims to improve classification accuracy through advanced machine learning techniques.

Author

Shohanur Rahman

Language

EN