https://github.com/emogooo/deepskinde

The aim of this study is to develop a deep learning model using CNNs for accurate skin cancer diagnosis from the ISIC-2019 dataset and to optimize hyperparameters using differential evolution algorithms.
https://github.com/emogooo/deepskinde

cnn differential-evolution isic isic-2019 isic-challenge keras tensorflow

Last synced: about 2 months ago
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The aim of this study is to develop a deep learning model using CNNs for accurate skin cancer diagnosis from the ISIC-2019 dataset and to optimize hyperparameters using differential evolution algorithms.

• Host: GitHub
• URL: https://github.com/emogooo/deepskinde
• Owner: emogooo
• Created: 2024-06-28T21:22:45.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-07-06T07:10:35.000Z (6 months ago)
• Last Synced: 2024-07-06T08:27:09.150Z (6 months ago)
• Topics: cnn, differential-evolution, isic, isic-2019, isic-challenge, keras, tensorflow
• Language: Python
• Homepage:
• Size: 6.84 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# DeepSkinDE

 The aim of this study is to develop a deep learning model using CNNs for accurate skin cancer diagnosis from the ***ISIC-2019*** dataset and to optimize hyperparameters using differential evolution algorithms.

![DGA_Acc_History](https://github.com/emogooo/DeepSkinDE/assets/58745898/4f0aecef-c863-42c4-b2e4-dec5dd881bc5)