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pro vyhledávání: '"Luo, Yaoru"'
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 such structures often pose significant technical challenges. A fundam
Externí odkaz:
http://arxiv.org/abs/2407.14754
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 supervised anomaly detection in medical imaging. To solve this problem
Externí odkaz:
http://arxiv.org/abs/2308.15280
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 the learning behavior of DNNs trained by noisy segmentation labels remai
Externí odkaz:
http://arxiv.org/abs/2205.00160
Publikováno v:
Biophysics Reports, 7(4): 253-266, 2021
Super-resolution microscopy overcomes the diffraction limit of conventional light microscopy in spatial resolution. By providing novel spatial or spatio-temporal information on biological processes at nanometer resolution with molecular specificity,
Externí odkaz:
http://arxiv.org/abs/2106.13064
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 learning behavior of DNNs trained by noisy segmentation labels remains
Externí odkaz:
http://arxiv.org/abs/2103.11594
Akademický článek
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Autor:
Huang J; State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China., Luo Y; State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China., Guo Y; State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China., Li W; State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China., Wang Z; State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China., Liu G; State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China., Ge Y; State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China.
Publikováno v:
Bioinformatics (Oxford, England) [Bioinformatics] 2024 Sep 20. Date of Electronic Publication: 2024 Sep 20.