Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Jinjin, Hai"'
Autor:
Weicong Zhang, Ziyang Chen, Zhihai Su, Zhengyan Wang, Jinjin Hai, Chengjie Huang, Yuhan Wang, Bin Yan, Hai Lu
Publikováno v:
JOR Spine, Vol 6, Iss 3, Pp n/a-n/a (2023)
Abstract Background The severity assessment of lumbar disc herniation (LDH) on MR images is crucial for selecting suitable surgical candidates. However, the interpretation of MR images is time‐consuming and requires repetitive work. This study aims
Externí odkaz:
https://doaj.org/article/fe64d682cca4455686160688ab70ac2e
Autor:
Lijie Zhang, Zhengguang Chen, Lei Feng, Liwei Guo, Dong Liu, Jinjin Hai, Kai Qiao, Jian Chen, Bin Yan, Genyang Cheng
Publikováno v:
BMC Medical Imaging, Vol 21, Iss 1, Pp 1-10 (2021)
Abstract Background The aim of this study was to investigate the potential use of renal ultrasonography radiomics features in the histologic classification of glomerulopathy. Methods A total of 623 renal ultrasound images from 46 membranous nephropat
Externí odkaz:
https://doaj.org/article/167eb982652346f68bea4803033b50f5
Autor:
Ruoxi Qin, Zhenzhen Wang, Kai Qiao, Jinjin Hai, Lingyun Jiang, Jian Chen, Xilong Pei, Dapeng Shi, Bin Yan
Publikováno v:
IEEE Access, Vol 8, Pp 38517-38527 (2020)
The mutation status of the epidermal growth factor receptor (EGFR) is an important clinical reference indicator for lung cancer diagnosis and treatment. However, the extraction of effective discriminative features for non-invasive computer-aided EGFR
Externí odkaz:
https://doaj.org/article/349d50a8a4fc40a88430a3b6e0d8841d
Autor:
RuoXi Qin, Zhenzhen Wang, LingYun Jiang, Kai Qiao, Jinjin Hai, Jian Chen, Junling Xu, Dapeng Shi, Bin Yan
Publikováno v:
Complexity, Vol 2020 (2020)
Lung cancer ranks among the most common types of cancer. Noninvasive computer-aided diagnosis can enable large-scale rapid screening of potential patients with lung cancer. Deep learning methods have already been applied for the automatic diagnosis o
Externí odkaz:
https://doaj.org/article/cd06383e1ad6474ba10a92a1f76db24c
Publikováno v:
International Conference on Biomedical and Intelligent Systems (IC-BIS 2022).
Autor:
Lei Feng, Jian Chen, Genyang Cheng, Zhengguang Chen, Liwei Guo, Jinjin Hai, Dong Liu, Bin Yan, Kai Qiao, Lijie Zhang
Publikováno v:
BMC Medical Imaging, Vol 21, Iss 1, Pp 1-10 (2021)
BMC Medical Imaging
BMC Medical Imaging
Background The aim of this study was to investigate the potential use of renal ultrasonography radiomics features in the histologic classification of glomerulopathy. Methods A total of 623 renal ultrasound images from 46 membranous nephropathy (MN) a
Publikováno v:
Biomedical Signal Processing and Control. 82:104562
Autor:
Jian Chen, Zhenzhen Wang, Kai Qiao, Bin Yan, Lingyun Jiang, Dapeng Shi, Jinjin Hai, Ruoxi Qin, Junling Xu
Publikováno v:
Complexity, Vol 2020 (2020)
Lung cancer ranks among the most common types of cancer. Noninvasive computer-aided diagnosis can enable large-scale rapid screening of potential patients with lung cancer. Deep learning methods have already been applied for the automatic diagnosis o
Publikováno v:
2021 6th International Symposium on Computer and Information Processing Technology (ISCIPT).
Publikováno v:
Journal of Healthcare Engineering, Vol 2019 (2019)
Journal of Healthcare Engineering
Journal of Healthcare Engineering
Breast tumor segmentation plays a crucial role in subsequent disease diagnosis, and most algorithms need interactive prior to firstly locate tumors and perform segmentation based on tumor-centric candidates. In this paper, we propose a fully convolut