Hierarchical knee image synthesis framework for Generative adversarial network: Data from the osteoarthritis initiative

• Main Authors: Gan, Hong-Seng, Ramlee, Muhammad Hanif, Al-Rimy, Bander Ali Saleh, Lee, Yeng-Seng, Prayoot Akkaraekthalin, Prayoot Akkaraekthalin
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2022
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/104375/1/MuhammadHanifRamlee2022_HierarchicalKneeImageSynthesisFramework.pdf; http://eprints.utm.my/104375/; http://dx.doi.org/10.1109/ACCESS.2022.3175506

Medical images synthesis is useful to address persistent issues such as the lack of training data diversity and inflexibility of traditional data augmentation faced by medical image analysis researchers when developing their deep learning models. Generative adversarial network (GAN) can generate rea...