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sensivity

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Awrsha / Skin-Cancer-Detection-using-Deep-Learning

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This project aims to develop a deep learning model for the detection of skin cancer from dermoscopic images. The model utilizes convolutional neural networks (CNNs), specifically the ResNet50 architecture, to classify images into two classes: benign and malignant.

classification resnet-50 multigpu sensivity convoloutional-neural-networks cancer-classification melanoma-classification specificity-matrices
  • Updated Nov 11, 2024
  • Jupyter Notebook

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