no code implementations • 22 Feb 2023 • Yu Ren, Guoli Wang, PingPing Wang, Kunmeng Liu, Quanjin Liu, Hongfu Sun, Xiang Li, Benzheng Wei
Conclusions: The experimental result demonstrates the effectiveness of the proposed MM-SFENet on the localization and classification of bladder cancer.
no code implementations • 22 Feb 2023 • Guoli Wang, PingPing Wang, Jinyu Cong, Kunmeng Liu, Benzheng Wei
The LCE module utilizes a graph to model the global co-occurrence relationship between multiple labels and employs graph convolutional networks for learning inference.
1 code implementation • 8 May 2022 • Hao Hou, Jun Xu, Yingkun Hou, Xiaotao Hu, Benzheng Wei, Dinggang Shen
To better exploit the powerful generative capability of GAN for real-world face SR, in this paper, we establish two independent degradation branches in the forward and backward cycle-consistent reconstruction processes, respectively, while the two processes share the same restoration branch.
no code implementations • 13 Jun 2021 • Hao Hou, Yingkun Hou, Yuxuan Shi, Benzheng Wei, Jun Xu
Then a minimum fusion strategy on the results of these two transforms is utilized to achieve more natural illumination component enhancement.
no code implementations • 28 Apr 2020 • Zhongyi Han, Benzheng Wei, Yilong Yin, Shuo Li
In this paper, we propose the neural-symbolic learning (NSL) framework that performs human-like learning by unifying deep neural learning and symbolic logical reasoning for the spinal medical report generation.
no code implementations • 27 Apr 2020 • Tianyang Li, Zhongyi Han, Benzheng Wei, Yuanjie Zheng, Yanfei Hong, Jinyu Cong
However, robust and accurate screening of COVID-19 from chest X-rays is still a globally recognized challenge because of two bottlenecks: 1) imaging features of COVID-19 share some similarities with other pneumonia on chest X-rays, and 2) the misdiagnosis rate of COVID-19 is very high, and the misdiagnosis cost is expensive.