The Effectiveness of Data Augmentation for Melanoma Skin Cancer Prediction Using Convolutional Neural Networks
Melanoma skin cancer has been a serious threat due to its high fatality. For this reason, early detection and treatments are given more attention as countermeasures. In recent years, skin cancer detection has been utilizing artificial intelligence techniques, specifically deep convolutional neural n...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE Xplore
2020
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| Online Access: | https://eprints.ums.edu.my/id/eprint/30132/1/The%20Effectiveness%20of%20Data%20Augmentation%20for%20Melanoma%20Skin%20Cancer%20Prediction%20Using%20Convolutional%20Neural%20Networks%20abstract.pdf https://eprints.ums.edu.my/id/eprint/30132/2/The%20Effectiveness%20of%20Data%20Augmentation%20for%20Melanoma%20Skin%20Cancer%20Prediction%20Using%20Convolutional%20Neural%20Networks.pdf https://eprints.ums.edu.my/id/eprint/30132/ https://ieeexplore.ieee.org/document/9257859 |
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https://eprints.ums.edu.my/id/eprint/30132/1/The%20Effectiveness%20of%20Data%20Augmentation%20for%20Melanoma%20Skin%20Cancer%20Prediction%20Using%20Convolutional%20Neural%20Networks%20abstract.pdfhttps://eprints.ums.edu.my/id/eprint/30132/2/The%20Effectiveness%20of%20Data%20Augmentation%20for%20Melanoma%20Skin%20Cancer%20Prediction%20Using%20Convolutional%20Neural%20Networks.pdf
https://eprints.ums.edu.my/id/eprint/30132/
https://ieeexplore.ieee.org/document/9257859