Advanced image understanding with deep learning in real-world applications

• Main Author: Shi, Yuxin
• Other Authors: Guan Cuntai
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: https://hdl.handle.net/10356/141410
• Institution: Nanyang Technological University

Image augmentation and segmentation are crucial tasks in biomedical imaging applications. Deep learning has attained promising accuracy in many real-life applications. However, most of the cases rely on supervised learning requiring a large amount of labelled data. Obtaining medical images is diffic...