Zobrazeno 1 - 10
of 878
pro vyhledávání: '"Li Chuanfu"'
Publikováno v:
Shuitu Baochi Xuebao, Vol 38, Iss 2, Pp 387-397 (2024)
[Objective] In order to investigate the effects of mushroom residue organic fertilizer and desulfurized gypsum on organic carbon components and carbon pool management index (CPMI) of saline-alkali soil. [Methods] The newly reclaimed wheat-maize rotat
Externí odkaz:
https://doaj.org/article/7d9125763ccb43b6bce56d303d656d5a
Autor:
Wang, Xiao, Wang, Fuling, Li, Yuehang, Ma, Qingchuan, Wang, Shiao, Jiang, Bo, Li, Chuanfu, Tang, Jin
X-ray image-based medical report generation (MRG) is a pivotal area in artificial intelligence which can significantly reduce diagnostic burdens and patient wait times. Despite significant progress, we believe that the task has reached a bottleneck d
Externí odkaz:
http://arxiv.org/abs/2410.00379
Inspired by the tremendous success of Large Language Models (LLMs), existing X-ray medical report generation methods attempt to leverage large models to achieve better performance. They usually adopt a Transformer to extract the visual features of a
Externí odkaz:
http://arxiv.org/abs/2408.09743
The label annotations for chest X-ray image rib segmentation are time consuming and laborious, and the labeling quality heavily relies on medical knowledge of annotators. To reduce the dependency on annotated data, existing works often utilize genera
Externí odkaz:
http://arxiv.org/abs/2407.15903
Autor:
Wang, Xiao, Li, Yuehang, Wu, Wentao, Jin, Jiandong, Rong, Yao, Jiang, Bo, Li, Chuanfu, Tang, Jin
Existing X-ray based pre-trained vision models are usually conducted on a relatively small-scale dataset (less than 500k samples) with limited resolution (e.g., 224 $\times$ 224). However, the key to the success of self-supervised pre-training large
Externí odkaz:
http://arxiv.org/abs/2404.17926
To enhance the intelligence degree in operation and maintenance, a novel method for fault detection in power grids is proposed. The proposed GNN-based approach first identifies fault nodes through a specialized feature extraction method coupled with
Externí odkaz:
http://arxiv.org/abs/2311.16522
Autor:
Jia, Yunxiao, Yu, Yunhao, Gao, Chenxi, Li, Yuehua, Li, Chuanfu, Ding, Zhengnian, Kong, Qiuyue, Liu, Li
Publikováno v:
Cell Stress & Chaperones, 2024 Jan 01. 29(2), 272-284.
Externí odkaz:
https://www.jstor.org/stable/48771936
Publikováno v:
Translational Neuroscience, Vol 6, Iss 1, Pp 265-270 (2015)
The purpose of this study was to analyze if there is a significant correlation between the results of diffusionweighted imaging (DWI) and the expression of proliferating cell nuclear antigen (PCNA) in astrocytomas. The DWI scans of 19 different-grade
Externí odkaz:
https://doaj.org/article/a39c2983014e49879af24f939e507b05
Learning based feature matching methods have been commonly studied in recent years. The core issue for learning feature matching is to how to learn (1) discriminative representations for feature points (or regions) within each intra-image and (2) con
Externí odkaz:
http://arxiv.org/abs/2305.19205
Autor:
Mao, Qian, Zhang, Xiaojin, Yang, Jinna, Kong, Qiuyue, Cheng, Hao, Yu, Wansu, Cao, Xiaofei, Li, Yuehua, Li, Chuanfu, Liu, Li, Ding, Zhengnian
Publikováno v:
In Journal of Advanced Research January 2025 67:217-229