Zobrazeno 1 - 10
of 456
pro vyhledávání: '"Sun, Liyan"'
Autor:
Jing, Changxing, Huang, Yan, Zhuang, Yihong, Sun, Liyan, Huang, Yue, Xiao, Zhenlong, Ding, Xinghao
Federated Learning (FL) is developed to learn a single global model across the decentralized data, while is susceptible when realizing client-specific personalization in the presence of statistical heterogeneity. However, studies focus on learning a
Externí odkaz:
http://arxiv.org/abs/2204.11841
Anomaly Detection (AD) on medical images enables a model to recognize any type of anomaly pattern without lesion-specific supervised learning. Data augmentation based methods construct pseudo-healthy images by "pasting" fake lesions on real healthy o
Externí odkaz:
http://arxiv.org/abs/2204.07963
Publikováno v:
In Energy 1 July 2024 298
Publikováno v:
In Materials Today Bio October 2024 28
Autor:
Wei, Shiyuan, Gao, Tianyang, Wu, Yihua, Wang, Guiming, Chen, Yao, Tao, Xinli, Liang, Yingqiu, Zhou, Zijun, Sun, Liyan, Liu, Minyin, Li, Haiyan, Bao, Yanjing
Publikováno v:
In European Journal of Obstetrics & Gynecology and Reproductive Biology May 2024 296:91-98
Publikováno v:
In Energy 15 April 2024 293
The analysis of organ vessels is essential for computer-aided diagnosis and surgical planning. But it is not a easy task since the fine-detailed connected regions of organ vessel bring a lot of ambiguity in vessel segmentation and sub-type recognitio
Externí odkaz:
http://arxiv.org/abs/2105.14732
Publikováno v:
In Free Radical Biology and Medicine March 2024 213:52-64
Publikováno v:
In Placenta February 2024 146:50-57
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding
Despite deep convolutional neural networks achieved impressive progress in medical image computing and analysis, its paradigm of supervised learning demands a large number of annotations for training to avoid overfitting and achieving promising resul
Externí odkaz:
http://arxiv.org/abs/2012.05440