1 citations · 4 across the 5 of their papers we have counts for
5 papers
Representing Topological Self-Similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures
Jiaxing Huang, Yanfeng Zhou, Yaoru Luo +3
Accurate segmentation of long and thin tubular structures is required in a wide variety of areas such as biology, medicine, and remote sensing. The complex topology and geometry of…
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…
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…
Advancing biological super-resolution microscopy through deep learning: a brief review
Tianjie Yang, Yaoru Luo, Wei Ji +1
Super-resolution microscopy overcomes the diffraction limit of conventional light microscopy in spatial resolution. By providing novel spatial or spatio-temporal information on bio…
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation
Yaoru Luo, Guole Liu, Yuanhao Guo +1
How deep neural networks (DNNs) learn from noisy labels has been studied extensively in image classification but much less in image segmentation. So far, our understanding of the l…