Explore anomaly detection and localization methods for medical imaging data

• Main Author: Yu, Tianze
• Other Authors: Lin Zhiping
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering
• Online Access: https://hdl.handle.net/10356/177215
• Institution: Nanyang Technological University

Due to the limited availability of expert-labeled anomalous samples in medical imaging applications such as chest X-rays, most existing unsupervised anomaly detection methods rely on only normal imaging data for training. Recent studies in medical imaging literature have extensively explored generat...