Zobrazeno 1 - 10
of 1 775
pro vyhledávání: '"ZHU Yingying"'
Publikováno v:
Shipin Kexue, Vol 45, Iss 3, Pp 257-265 (2024)
Three-dimensional (3D) printing, also known as additive manufacturing, is an emerging manufacturing technology that enables personalized product design and precise modeling through digital control. In recent years, 3D printing technology has gained s
Externí odkaz:
https://doaj.org/article/4ccd470e6cf946abbf030d73cc6f0547
Publikováno v:
Open Medicine, Vol 18, Iss 1, Pp 502-26 (2023)
We discuss the clinical characteristics and prognostic significance of adult individuals with PTPN11 mutations who have developed acute myeloid leukemia (AML) (none acute promyelocytic leukemia). Next generation sequencing and Sanger sequencing were
Externí odkaz:
https://doaj.org/article/ad6694941ca24b92920afa6f1f8242f7
Autor:
Deng, Linger, Liu, Yuliang, Li, Bohan, Luo, Dongliang, Wu, Liang, Zhang, Chengquan, Lyu, Pengyuan, Zhang, Ziyang, Zhang, Gang, Ding, Errui, Zhu, Yingying, Bai, Xiang
Existing Large Multimodal Models (LMMs) struggle with mathematical geometric reasoning due to a lack of high-quality image-text paired data. Current geometric data generation approaches, which apply preset templates to generate geometric data or use
Externí odkaz:
http://arxiv.org/abs/2410.17885
With the advance of deep learning, much progress has been made in building powerful artificial intelligence (AI) systems for automatic Chest X-ray (CXR) analysis. Most existing AI models are trained to be a binary classifier with the aim of distingui
Externí odkaz:
http://arxiv.org/abs/2408.02214
Publikováno v:
Nanophotonics, Vol 9, Iss 10, Pp 3323-3333 (2020)
Dielectric metamaterials with high refractive indices may have an incredible capability to manipulate the phase, amplitude, and polarization of the incident light. Combining the high refractive index and the excellent electrical characteristics of th
Externí odkaz:
https://doaj.org/article/1059f67e576246b792ecdb7b55465bba
Autor:
Yang, Hongcheng, Liang, Dingkang, Zhang, Dingyuan, Liu, Zhe, Zou, Zhikang, Jiang, Xingyu, Zhu, Yingying
The recent advancements in point cloud learning have enabled intelligent vehicles and robots to comprehend 3D environments better. However, processing large-scale 3D scenes remains a challenging problem, such that efficient downsampling methods play
Externí odkaz:
http://arxiv.org/abs/2402.17521
Scene text recognition (STR) is a challenging task that requires large-scale annotated data for training. However, collecting and labeling real text images is expensive and time-consuming, which limits the availability of real data. Therefore, most e
Externí odkaz:
http://arxiv.org/abs/2402.15806
Scene text recognition is a rapidly developing field that faces numerous challenges due to the complexity and diversity of scene text, including complex backgrounds, diverse fonts, flexible arrangements, and accidental occlusions. In this paper, we p
Externí odkaz:
http://arxiv.org/abs/2402.13643
The conventional Minimum Error Entropy criterion (MEE) has its limitations, showing reduced sensitivity to error mean values and uncertainty regarding error probability density function locations. To overcome this, a MEE with fiducial points criterio
Externí odkaz:
http://arxiv.org/abs/2309.04670
Autor:
Zhang, Mengliang, Hu, Xinyue, Gu, Lin, Liu, Liangchen, Kobayashi, Kazuma, Harada, Tatsuya, Summers, Ronald M., Zhu, Yingying
Patients undergoing chest X-rays (CXR) often endure multiple lung diseases. When evaluating a patient's condition, due to the complex pathologies, subtle texture changes of different lung lesions in images, and patient condition differences, radiolog
Externí odkaz:
http://arxiv.org/abs/2309.03331