Zero-Shot Anomaly Detection in Medical Images Using Conditional Denoising Diffusion Models and Data Augmentation

Yabin Liu; Yan Zhang; Wanhong Zhang

doi:10.1109/cac63892.2024.10865513

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JOURNAL ARTICLE

Zero-Shot Anomaly Detection in Medical Images Using Conditional Denoising Diffusion Models and Data Augmentation

Yabin Liu Yan Zhang Wanhong Zhang

Year: 2024 Pages: 6462-6467

DOI: 10.1109/cac63892.2024.10865513

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Keywords:

Anomaly detection Zero (linguistics) Computer science Noise reduction Artificial intelligence Pattern recognition (psychology) Anomaly (physics) Shot (pellet) Diffusion Data mining Physics Materials science

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Topics

Medical Imaging Techniques and Applications

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

COVID-19 diagnosis using AI

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Zero-Shot Anomaly Detection in Medical Images Using Conditional Denoising Diffusion Models and Data Augmentation

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