U-Net Model for Dermoscopic Image Segmentation for Enhanced Skin Cancer Diagnosis System
Keywords:
Dermoscopic Images, Medical Image Processing, Image Segmentation, Dermatology, Medical Imaging AIAbstract
Skin cancer is one of the most prevalent and life-threatening forms of cancer worldwide. Early detection and accurate classification of skin lesions are critical for effective treatment and improved patient outcomes. This project proposes a Deep Learning-based approach for automated skin cancer detection and multi-class classification using convolutional neural networks (CNNs) . In the existing system, Classifier is employed for skin cancer detection due to its simple architecture and efficiency in extracting features through multiple convolutional and pooling layers.
References
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