Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Chen, Zifan"'
Autor:
Yuan, Mingze, Bao, Peng, Yuan, Jiajia, Shen, Yunhao, Chen, Zifan, Xie, Yi, Zhao, Jie, Chen, Yang, Zhang, Li, Shen, Lin, Dong, Bin
With the rapid development of artificial intelligence, large language models (LLMs) have shown promising capabilities in mimicking human-level language comprehension and reasoning. This has sparked significant interest in applying LLMs to enhance var
Externí odkaz:
http://arxiv.org/abs/2311.01918
Autor:
Chen, Zifan, Li, Jiazheng, Zhao, Jie, Liu, Yiting, Li, Hongfeng, Dong, Bin, Tang, Lei, Zhang, Li
**Background:** Accurate 3D CT scan segmentation of gastric tumors is pivotal for diagnosis and treatment. The challenges lie in the irregular shapes, blurred boundaries of tumors, and the inefficiency of existing methods. **Purpose:** We conducted a
Externí odkaz:
http://arxiv.org/abs/2305.17871
Autor:
Yuan, Mingze, Xia, Yingda, Dong, Hexin, Chen, Zifan, Yao, Jiawen, Qiu, Mingyan, Yan, Ke, Yin, Xiaoli, Shi, Yu, Chen, Xin, Liu, Zaiyi, Dong, Bin, Zhou, Jingren, Lu, Le, Zhang, Ling, Zhang, Li
Real-world medical image segmentation has tremendous long-tailed complexity of objects, among which tail conditions correlate with relatively rare diseases and are clinically significant. A trustworthy medical AI algorithm should demonstrate its effe
Externí odkaz:
http://arxiv.org/abs/2304.00212
Autor:
Dong, Hexin, Chen, Zifan, Yuan, Mingze, Xie, Yutong, Zhao, Jie, Yu, Fei, Dong, Bin, Zhang, Li
As one of the most challenging and practical segmentation tasks, open-world semantic segmentation requires the model to segment the anomaly regions in the images and incrementally learn to segment out-of-distribution (OOD) objects, especially under a
Externí odkaz:
http://arxiv.org/abs/2205.08083
Accurate and efficient lumbar spine disease identification is crucial for clinical diagnosis. However, existing deep learning models with millions of parameters often fail to learn with only hundreds or dozens of medical images. These models also ign
Externí odkaz:
http://arxiv.org/abs/2203.08408
Autor:
Yuan, Mingze, Bao, Peng, Yuan, Jiajia, Shen, Yunhao, Chen, Zifan, Xie, Yi, Zhao, Jie, Li, Quanzheng, Chen, Yang, Zhang, Li, Shen, Lin, Dong, Bin
Publikováno v:
In Medicine Plus June 2024 1(2)
The existing human pose estimation methods are confronted with inaccurate long-distance regression or high computational cost due to the complex learning objectives. This work proposes a novel deep learning framework for human pose estimation called
Externí odkaz:
http://arxiv.org/abs/2105.07245
Autor:
Yang, Song, Zhu, Haimei, Cai, Shenghao, Chen, Zifan, Liang, Xiao, Li, Zhuo, Peng, Nannan, Yang, Yang, Wang, Jingmin, Wang, Yongzhong
Publikováno v:
In Talanta 1 April 2024 270
Publikováno v:
Poultry Science, Vol 102, Iss 8, Pp 102780- (2023)
ABSTRACT: Avian coccidiosis causes huge economic losses to the global poultry industry. Vaccine is an important means to prevent and control coccidiosis. In this study, Bacillus subtilis was selected as the expression host strain to express anti Eime
Externí odkaz:
https://doaj.org/article/1a16d096a1764f0694eedc2f2621e325
Autor:
Zheng, Chaojun *, Chen, Zifan *, Yan, Xia, Xiao, Gengsheng *, Qiu, Ting *, Ou, Jiancun *, Cen, Mingzhu *, Li, Wenlong *, Huang, Yurong *, Cao, Yu, Zhang, Huihua *
Publikováno v:
In Poultry Science May 2023