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of 51
pro vyhledávání: '"Zheng, Fudan"'
Diffusion models have demonstrated their effectiveness across various generative tasks. However, when applied to medical image segmentation, these models encounter several challenges, including significant resource and time requirements. They also ne
Externí odkaz:
http://arxiv.org/abs/2406.18361
Most advances in medical image recognition supporting clinical auxiliary diagnosis meet challenges due to the low-resource situation in the medical field, where annotations are highly expensive and professional. This low-resource problem can be allev
Externí odkaz:
http://arxiv.org/abs/2402.03783
Autor:
Zheng, Fudan, Li, Mengfei, Wang, Ying, Yu, Weijiang, Wang, Ruixuan, Chen, Zhiguang, Xiao, Nong, Lu, Yutong
Automatic radiology report generation is booming due to its huge application potential for the healthcare industry. However, existing computer vision and natural language processing approaches to tackle this problem are limited in two aspects. First,
Externí odkaz:
http://arxiv.org/abs/2402.03754
Previous post-processing studies on rainfall forecasts using numerical weather prediction (NWP) mainly focus on statistics-based aspects, while learning-based aspects are rarely investigated. Although some manually-designed models are proposed to rai
Externí odkaz:
http://arxiv.org/abs/2312.16046
Autor:
Zheng, Fudan, Wang, Luhao, Pang, Yuxian, Chen, Zhiguang, Lu, Yutong, Yang, Yuedong, Wu, Jianfeng
Publikováno v:
In Biomedical Signal Processing and Control September 2023 86 Part A
Akademický článek
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Publikováno v:
In Journal of Controlled Release 10 September 2021 337:407-416
Publikováno v:
Behavior Research Methods; Apr2024, Vol. 56 Issue 4, p2859-2885, 27p
Akademický článek
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Autor:
Abongwa, Melanie, Marjanovic, Djordje S., Tipton, James G., Zheng, Fudan, Martin, Richard J., Trailovic, Sasa M., Robertson, Alan P.
Publikováno v:
In International Journal for Parasitology: Drugs and Drug Resistance April 2018 8(1):36-42