Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Ruan, Shulan"'
Active learning is considered a viable solution to alleviate the contradiction between the high dependency of deep learning-based segmentation methods on annotated data and the expensive pixel-level annotation cost of medical images. However, most ex
Externí odkaz:
http://arxiv.org/abs/2405.00452
Autor:
Shi, Jun, Kan, Hongyu, Ruan, Shulan, Zhu, Ziqi, Zhao, Minfan, Qiao, Liang, Wang, Zhaohui, An, Hong, Xue, Xudong
Recently, deep learning methods have been widely used for tumor segmentation of multimodal medical images with promising results. However, most existing methods are limited by insufficient representational ability, specific modality number and high c
Externí odkaz:
http://arxiv.org/abs/2307.01486
In the treatment of ovarian cancer, precise residual disease prediction is significant for clinical and surgical decision-making. However, traditional methods are either invasive (e.g., laparoscopy) or time-consuming (e.g., manual analysis). Recently
Externí odkaz:
http://arxiv.org/abs/2306.14646
Autor:
Zhang, Kun, Wu, Le, Lv, Guangyi, Chen, Enhong, Ruan, Shulan, Liu, Jing, Zhang, Zhiqiang, Zhou, Jun, Wang, Meng
Text Classification is one of the fundamental tasks in natural language processing, which requires an agent to determine the most appropriate category for input sentences. Recently, deep neural networks have achieved impressive performance in this ar
Externí odkaz:
http://arxiv.org/abs/2306.08817
Text-to-image synthesis refers to generating an image from a given text description, the key goal of which lies in photo realism and semantic consistency. Previous methods usually generate an initial image with sentence embedding and then refine it w
Externí odkaz:
http://arxiv.org/abs/2108.12141
The ongoing global pandemic of Coronavirus Disease 2019 (COVID-19) poses a serious threat to public health and the economy. Rapid and accurate diagnosis of COVID-19 is crucial to prevent the further spread of the disease and reduce its mortality. Che
Externí odkaz:
http://arxiv.org/abs/2105.06779
Autor:
Shi, Jun, Wang, Zhaohui, Ruan, Shulan, Zhao, Minfan, Zhu, Ziqi, Kan, Hongyu, An, Hong, Xue, Xudong, Yan, Bing
Publikováno v:
In Computerized Medical Imaging and Graphics March 2024 112
Sentence semantic matching is one of the fundamental tasks in natural language processing, which requires an agent to determine the semantic relation among input sentences. Recently, deep neural networks have achieved impressive performance in this a
Externí odkaz:
http://arxiv.org/abs/2012.08920
Akademický článek
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Autor:
Zhang, Kun, Wu, Le, Lv, Guangyi, Chen, Enhong, Ruan, Shulan, Liu, Jing, Zhang, Zhiqiang, Zhou, Jun, Wang, Meng
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems; October 2024, Vol. 35 Issue: 10 p14889-14902, 14p