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Anomaly detection, Representation learning, Medical imaging
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Anomaly detection, Medical image analysis, Few-shot learning
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Medical anomaly detection, Robust vision systems,
Cross-source generalization, Diffusion models,
Parameter-efficient transfer learning
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Medical image anomaly detection, Vision-language models,
Zero-shot/few-shot learning, Poincaré ball
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Lin, Q.[Qika],
Qi, X.M.[Xiao-Ming],
Pu, B.[Bin],
Zheng, F.[Fuchen],
Tang, Z.H.[Zhen-Hua],
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MedUAD: Task-aware unsupervised continual learning for multimodal
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PR(182), 2027, pp. 114806.
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2610
Multimodal diagnosis, Representation learning,
Medical anomaly detection, Unsupervised learning, Continual learning
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Bao, J.[Jinan],
Sun, H.[Hanshi],
Deng, H.Q.[Han-Qiu],
He, Y.S.[Yin-Sheng],
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BMAD: Benchmarks for Medical Anomaly Detection,
VAND24(4042-4053)
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2410
Benchmark testing, Video surveillance, Retina,
Medical diagnosis, Medical diagnostic imaging, Anomaly detection,
benchmark
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Huang, Y.M.[Yi-Ming],
Liu, G.[Guole],
Luo, Y.[Yaoru],
Yang, G.[Ge],
ADFA: Attention-Augmented Differentiable Top-K Feature Adaptation for
Unsupervised Medical Anomaly Detection,
ICIP23(206-210)
IEEE DOI
2312
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Anotomical Landmark Detection, Landmark Location in Various Sensors .