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cs.CV2025
Semi-Supervised Anomaly Detection in Brain MRI Using a Domain-Agnostic Deep Reinforcement Learning Approach
Zeduo Zhang, Yalda Mohsenzadeh
To develop a domain-agnostic, semi-supervised anomaly detection framework that integrates deep reinforcement learning (DRL) to address challenges such as large-scale data, overfitt…
cs.CV2024
Efficient Slice Anomaly Detection Network for 3D Brain MRI Volume
Zeduo Zhang, Yalda Mohsenzadeh
Current anomaly detection methods excel with benchmark industrial data but struggle with natural images and medical data due to varying definitions of 'normal' and 'abnormal.' This…