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pro vyhledávání: '"Yi~Zhang"'
In recent years, advanced U-like networks have demonstrated remarkable performance in medical image segmentation tasks. However, their drawbacks, including excessive parameters, high computational complexity, and slow inference speed, pose challenges
Externí odkaz:
http://arxiv.org/abs/2412.06262
Autor:
Zhang, Zeyu, Yi, Nengmin, Tan, Shengbo, Cai, Ying, Yang, Yi, Xu, Lei, Li, Qingtai, Yi, Zhang, Ergu, Daji, Zhao, Yang
Cervical disc herniation (CDH) is a prevalent musculoskeletal disorder that significantly impacts health and requires labor-intensive analysis from experts. Despite advancements in automated detection of medical imaging, two significant challenges hi
Externí odkaz:
http://arxiv.org/abs/2409.00204
In recent years, employing layer attention to enhance interaction among hierarchical layers has proven to be a significant advancement in building network structures. In this paper, we delve into the distinction between layer attention and the genera
Externí odkaz:
http://arxiv.org/abs/2406.13392
Glass largely blurs the boundary between the real world and the reflection. The special transmittance and reflectance quality have confused the semantic tasks related to machine vision. Therefore, how to clear the boundary built by glass, and avoid o
Externí odkaz:
http://arxiv.org/abs/2405.09459
Autor:
Hui Gao, Cheng Zhang, Beibei Zhu, Menglong Geng, Juan Tong, Zixiang Zhan, Yi Zhang, De Wu, Kun Huang, Fangbiao Tao
Publikováno v:
Eco-Environment & Health, Vol 3, Iss 4, Pp 425-435 (2024)
The association between prenatal phthalate mixture exposure and the risk of autism spectrum disorder (ASD) in children, as well as the potential mechanism and impact of maternal vitamin D, remains unclear. We analyzed data from 3209 mother–child pa
Externí odkaz:
https://doaj.org/article/e057b46e97dd49f2b39f24443f561e6c
Autor:
Li Hao, Xin Shi, Shiyu Wen, Jiaqiang Chen, Kexin Luo, Yaqi Chen, Samo Yue, Caiye Yang, Yanxia Sun, Yi Zhang
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-14 (2024)
Abstract Background Dendrobium officinale Kimura et Migo is a perennial epiphytic herb in traditional Chinese medicine, showing remarkable resistance to salt stress. Water-soluble sugars serve as important osmoprotectants and play crucial roles in pl
Externí odkaz:
https://doaj.org/article/c38f9cea7fc2417d9a0f4762a7ad1427
Autor:
Tian-tian Wang, Bo Yang, Yun-rong Li, Liu-liu Zhang, Xiao-xu Zhi, Bing Wu, Yi Zhang, Yun Zhao, Mei-xiang Wang
Publikováno v:
BMC Nursing, Vol 23, Iss 1, Pp 1-10 (2024)
Abstract Background As core members of hospice care team, the hospice nurses’ ability to care for patients not only directly affects the standard of patient care, but also significantly impacts patient quality of life. It can be seen that it is ver
Externí odkaz:
https://doaj.org/article/44fbe97abe3742cb8b0982dc962ed5d6
Autor:
Lingzhu Bian, Chen Liu, Zhen Zhang, Yingke Huang, Xinyu Pan, Yi Zhang, Jiaou Wang, Pavel Dudin, Jose Avila, Zhesheng Chen, Yuhui Dong
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-8 (2024)
Abstract Unsupervised clustering method has shown strong capabilities in automatically categorizing the ARPES (ARPES: angle-resolved photoemission spectroscopy) spatial mapping dataset. However, there is still room for improvement in distinguishing s
Externí odkaz:
https://doaj.org/article/a224e6f0edca4b2a9b70526576221ec2
Autor:
Linfeng Yu, Kexin Dong, Qi Yang, Yi Zhang, Zheyong Fan, Xiong Zheng, Huimin Wang, Zhenzhen Qin, Guangzhao Qin
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-10 (2024)
Abstract The physical/chemical properties undergo significant transformations in the different states arising from phase transition. However, due to the lack of a dynamic perspective, transitional mesophases are largely underexamined, constrained by
Externí odkaz:
https://doaj.org/article/8a0fc241d2cf4e7291e405b9230aadee
Publikováno v:
IET Communications, Vol 18, Iss 19, Pp 1428-1436 (2024)
Abstract Deep learning has been widely applied in ship detection in synthetic aperture radar (SAR) imagery due to their powerful feature representation capabilities. However, YOLOv8 models treat all regions of the image equally during convolutional f
Externí odkaz:
https://doaj.org/article/2edaff5e0eaa49f7a44f40fd51a9b8da