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pro vyhledávání: '"Pu, Bangzheng"'
Autor:
Song, Yanfei, Pu, Bangzheng, Wang, Peng, Jiang, Hongxu, Dong, Dong, Cao, Yongxiang, Shen, Yiqing
Segment Anything Model (SAM) has garnered significant attention in segmentation tasks due to their zero-shot generalization ability. However, a broader application of SAMs to real-world practice has been restricted by their low inference speed and hi
Externí odkaz:
http://arxiv.org/abs/2403.09195
The advancement of deep learning has facilitated the integration of Artificial Intelligence (AI) into clinical practices, particularly in computer-aided diagnosis. Given the pivotal role of medical images in various diagnostic procedures, it becomes
Externí odkaz:
http://arxiv.org/abs/2303.09858
Although Deep Neural Networks (DNNs) have been widely applied in various real-world scenarios, they are vulnerable to adversarial examples. The current adversarial attacks in computer vision can be divided into digital attacks and physical attacks ac
Externí odkaz:
http://arxiv.org/abs/2211.01671
Autor:
Wang, Siyu, Xu, Bingxin, Wang, Xiaokang, Li, Xinfang, Pu, Bangzheng, Chen, Gui, Han, Jianmin, Xiao, Shengzhao, Fan, Yubo, Li, Jiebo
Publikováno v:
In Medicine in Novel Technology and Devices March 2024 21
The collection of medical image datasets is a demanding and laborious process that requires significant resources. Furthermore, these medical datasets may contain personally identifiable information, necessitating measures to ensure that unauthorized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cbdd856af6b1733e09a13d5c89dccdc
http://arxiv.org/abs/2303.09858
http://arxiv.org/abs/2303.09858
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Autor:
Wu, Fan, Zheng, Huiling, Wang, Wenzhao, Wu, Qiong, Zhang, Qi, Guo, Jiayu, Pu, Bangzheng, Shi, Xinyuan, Li, Jiebo, Chen, Xiangmei, Hong, Weili
Publikováno v:
Science China Materials; 2021, Vol. 64 Issue 3, p748-758, 11p