The Effectiveness of Data Augmentation for Melanoma Skin Cancer Prediction Using Convolutional Neural Networks

• Main Authors: Kin, Wai Lee, Ka, Renee Yin Chin
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE Xplore 2020
• Subjects: RA Public aspects of medicine
• 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
• Institution: Universiti Malaysia Sabah

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...