Zobrazeno 1 - 10
of 223
pro vyhledávání: '"Xiaohong, Jia"'
Autor:
Mingyang, Zhao, Xiaohong, Jia, Lei, Ma, Yuke, Shi, Jingen, Jiang, Qizhai, Li, Dong-Ming, Yan, Tiejun, Huang
This work presents a novel and effective method for fitting multidimensional ellipsoids to scattered data in the contamination of noise and outliers. We approach the problem as a Bayesian parameter estimate process and maximize the posterior probabil
Externí odkaz:
http://arxiv.org/abs/2407.19269
This study presents a high-accuracy, efficient, and physically induced method for 3D point cloud registration, which is the core of many important 3D vision problems. In contrast to existing physics-based methods that merely consider spatial point in
Externí odkaz:
http://arxiv.org/abs/2302.01109
Autor:
Yi Zheng, Jun Liu, Nongping Feng, Jing Wei, Xiaohong Jia, Lu Luo, Ruijun Xu, Chunxiang Shi, Rui Wang, Hong Sun, Yuewei Liu
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 287, Iss , Pp 117289- (2024)
Interstitial lung diseases (ILDs) lead to increased morbidity and premature deaths, imposing a significant burden on public health worldwide. Recently, several studies have linked ambient air pollution with the acute exacerbation of certain ILDs, but
Externí odkaz:
https://doaj.org/article/16787ddf7e0842dbb0736791986a9148
Publikováno v:
IEEE Access, Vol 12, Pp 44826-44840 (2024)
To address the limitations of deep learning models in detecting aerial insulator images from Unmanned Aerial Vehicles, we present a framework dubbed DP-FedIOD, which utilizes differential privacy and federated learning techniques for identifying the
Externí odkaz:
https://doaj.org/article/5d243baced5346d0acf7bb69845cd5d6
Ellipsoid fitting is of general interest in machine vision, such as object detection and shape approximation. Most existing approaches rely on the least-squares fitting of quadrics, minimizing the algebraic or geometric distances, with additional con
Externí odkaz:
http://arxiv.org/abs/2110.13337
Publikováno v:
Symmetry, Vol 16, Iss 8, p 1000 (2024)
Superpixels, as essential mid-level image representations, have been widely used in computer vision due to their computational efficiency and redundant compression. Compared with traditional superpixel methods, superpixel algorithms based on deep lea
Externí odkaz:
https://doaj.org/article/7b1b3479e846485da848d4efd46a08dc
Autor:
Bingqiang Fei, Huirong Ma, Jie Yin, Lingguang Zhang, Jia Li, Xiaomin Xiu, Dezheng Zhou, Yingjun Pang, Yandong Zhang, Xiaohong Jia, Bo Wu
Publikováno v:
Land, Vol 13, Iss 7, p 977 (2024)
This study meticulously investigates landscape alterations within the Mu Us Sandy Land, a critical region for desertification control in China. The research dissects the dynamic characteristics and inter-conversion of landscape elements across eleven
Externí odkaz:
https://doaj.org/article/341db2be23334717b901e730b3686ffa
Autor:
Jian, Wang, Juzheng, Miao, Xin, Yang, Rui, Li, Guangquan, Zhou, Yuhao, Huang, Zehui, Lin, Wufeng, Xue, Xiaohong, Jia, Jianqiao, Zhou, Ruobing, Huang, Dong, Ni
Breast cancer is the most common invasive cancer in women. Besides the primary B-mode ultrasound screening, sonographers have explored the inclusion of Doppler, strain and shear-wave elasticity imaging to advance the diagnosis. However, recognizing u
Externí odkaz:
http://arxiv.org/abs/2008.03435
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
BackgroundUltrasonography is an important imaging method for clinical breast cancer screening. As the original echo signals of ultrasonography, ultrasound radiofrequency (RF) signals provide abundant tissue macroscopic and microscopic information and
Externí odkaz:
https://doaj.org/article/22d3dd3f68ea4f4a9dddea8ae53c35b0
Autor:
Zhao Yao, Ting Luo, YiJie Dong, XiaoHong Jia, YinHui Deng, GuoQing Wu, Ying Zhu, JingWen Zhang, Juan Liu, LiChun Yang, XiaoMao Luo, ZhiYao Li, YanJun Xu, Bin Hu, YunXia Huang, Cai Chang, JinFeng Xu, Hui Luo, FaJin Dong, XiaoNa Xia, ChengRong Wu, WenJia Hu, Gang Wu, QiaoYing Li, Qin Chen, WanYue Deng, QiongChao Jiang, YongLin Mou, HuanNan Yan, XiaoJing Xu, HongJu Yan, Ping Zhou, Yang Shao, LiGang Cui, Ping He, LinXue Qian, JinPing Liu, LiYing Shi, YaNan Zhao, YongYuan Xu, WeiWei Zhan, YuanYuan Wang, JinHua Yu, JianQiao Zhou
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
The current use of elastography ultrasound faces challenges, including vulnerability to subjective manipulation, echo signal attenuation, unknown risks of elastic pressure and high imaging hardware cost. Here, the author shows a virtual elastography
Externí odkaz:
https://doaj.org/article/b855938384564f538069b4452f5e7c7c