Invited Speaker


Dr. Hong-Seng Gan

Dr. Hong-Seng Gan

Department of Data Science, Universiti Malaysia Kelantan, Malaysia
Speech Title: Generative Adversarial Network for Medical Image Synthesis: A Case Study in Realistic Knee Image Generation

Abstract: The lack of annotated training data and limitation of traditional data augmentation have been long persistent issues faced by researchers in medical imaging field. As the capability of graphical processing unit (GPU) improves significantly, the computational power of our computers increases. Generative adversarial network (GAN) is a powerful technique which can generate realistic medical image via image synthesis for effective training data augmentation. This is vital for robust deep segmentation given that the model will require substantial amount of training data. Here, we propose the Generative Adversarial Network for Knee Image Augmentation. During the training, the proposed GAN model will generate high quality synthetic knee image up to 256 x 256 scale, which is sufficient to preserve the salient knee structural features. Our evaluation showed the proposed GAN model has attained high level of similarity to original knee image. The findings suggest GAN serves critical alternative to develop robust deep learning models for knee segmentation in the future.

Keywords: Medical Image Synthesis, Generative Adversarial Network, Knee Image, Data Augmentation


Biography: Dr. Hong-Seng Gan, is a senior lecturer in Department of Data Science, Universiti Malaysia Kelantan, Malaysia. Dr. Gan earned his PhD in Biomedical Engineering from Universiti Teknologi Malaysia, with specialization in medical image processing. His research interests include medical image analysis, machine learning, deep learning, knee osteoarthritis and computer vision. In 2018, he was the JSPS research fellow at Meiji University. Dr. Gan has received a number of awards from international exhibitions and competitions, including Malaysia Technology Expo (MTE), International Invention, Innovation & Technology Exhibition (ITEX) and Seoul International Invention Fair (SIIF). Currently, he is the national task force member and main writer for Malaysia’s National Robotics Roadmap.

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