Chi Nok Enoch Kan

Enhancing Multi-Channel Eeg Classification with Gramian Temporal Generative Adversarial Networks

Deep learning’s requirements for large amounts of training data remains a challenge for researchers and developers. Generative Adversarial Network (GAN) is commonly used in medical image analysis to generate novel training images to help resolve this issue. While deep learning has many clinical appl…