most citedADFA: Attention-augmented Differentiable top-k Feature Adaptation for Unsupervised Medical Anomaly Detection

1 citations · 2 across the 2 of their papers we have counts for

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2 papers

cs.CV2023★ 1 cited

ADFA: Attention-augmented Differentiable top-k Feature Adaptation for Unsupervised Medical Anomaly Detection

Yiming Huang, Guole Liu, Yaoru Luo +1

The scarcity of annotated data, particularly for rare diseases, limits the variability of training data and the range of detectable lesions, presenting a significant challenge for…

cs.CV2022★ 1 cited

Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks

Yaoru Luo, Guole Liu, Yuanhao Guo +1

Supervised training of deep neural networks (DNNs) by noisy labels has been studied extensively in image classification but much less in image segmentation. Our understanding of th…