Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Qinquan GAO"'
Autor:
Siyi XUN, Yan ZHANG, Sixu DUAN, Mingwei WANG, Jiangang CHEN, Tong TONG, Qinquan GAO, Chantong LAM, Menghan HU, Tao TAN
Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 6, Iss 3, Pp 203-216 (2024)
Background: Magnetic resonance imaging (MRI) has played an important role in the rapid growth of medical imaging diagnostic technology, especially in the diagnosis and treatment of brain tumors owing to its non-invasive characteristics and superior s
Externí odkaz:
https://doaj.org/article/ca0cc5c57df54e40a1b9fcc5d974e71d
Autor:
Jiajun Zhang, Yuanbo Zhou, Jiang Bi, Yuyang Xue, Wei Deng, Wenlin He, Tao Zhao, Kai Sun, Tong Tong, Qinquan Gao, Qing Zhang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The goal of blind image super-resolution (BISR) is to recover the corresponding high-resolution image from a given low-resolution image with unknown degradation. Prior related research has primarily focused effectively on utilizing the kerne
Externí odkaz:
https://doaj.org/article/791a169c4cf64c50bfe8de5738e32405
Autor:
Tao Wang, Junlin Lan, Zixin Han, Ziwei Hu, Yuxiu Huang, Yanglin Deng, Hejun Zhang, Jianchao Wang, Musheng Chen, Haiyan Jiang, Ren-Guey Lee, Qinquan Gao, Ming Du, Tong Tong, Gang Chen
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
The application of deep learning in the medical field has continuously made huge breakthroughs in recent years. Based on convolutional neural network (CNN), the U-Net framework has become the benchmark of the medical image segmentation task. However,
Externí odkaz:
https://doaj.org/article/50a5a3d5457d4f5ab1d2bd91a13a1c07
Autor:
Zixin Han, Junlin Lan, Tao Wang, Ziwei Hu, Yuxiu Huang, Yanglin Deng, Hejun Zhang, Jianchao Wang, Musheng Chen, Haiyan Jiang, Ren-Guey Lee, Qinquan Gao, Ming Du, Tong Tong, Gang Chen
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Gastric cancer is the third most common cause of cancer-related death in the world. Human epidermal growth factor receptor 2 (HER2) positive is an important subtype of gastric cancer, which can provide significant diagnostic information for gastric c
Externí odkaz:
https://doaj.org/article/f845879250d54c2e944e18f0b0853907
Autor:
Luoyan Wang, Xiaogen Zhou, Xingqing Nie, Xingtao Lin, Jing Li, Haonan Zheng, Ensheng Xue, Shun Chen, Cong Chen, Min Du, Tong Tong, Qinquan Gao, Meijuan Zheng
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Automated thyroid nodule classification in ultrasound images is an important way to detect thyroid nodules and to make a more accurate diagnosis. In this paper, we propose a novel deep convolutional neural network (CNN) model, called n-ClsNet, for th
Externí odkaz:
https://doaj.org/article/d2a992e0862945b6999c61190a664f59
Autor:
Junlin Lan, Shaojin Cai, Yuyang Xue, Qinquan Gao, Min Du, Hejun Zhang, Zhida Wu, Yanglin Deng, Yuxiu Huang, Tong Tong, Gang Chen
Publikováno v:
IEEE Access, Vol 9, Pp 11282-11295 (2021)
Hematoxylin and eosin (H&E) stained colors is a critical step in the digitized pathological diagnosis of cancer. However, differences in section preparations, staining protocols and scanner specifications may result in the variations of stain colors
Externí odkaz:
https://doaj.org/article/0932653aa91e46eca012cc201e2b6d56
Publikováno v:
IEEE Access, Vol 9, Pp 6488-6497 (2021)
Semantic information from images can be used to improve the performance of deep learning methods in recognizing human emotions. In this paper, we propose a novel framework based on the graph convolutional network for emotion recognition by utilizing
Externí odkaz:
https://doaj.org/article/a99abfa5290a477a85d3bdf5c5dd163b
Publikováno v:
IEEE Access, Vol 8, Pp 192141-192154 (2020)
Stereo disparity estimation is a difficult and crucial task in computer vision. Although many experimental techniques have been proposed in recent years with the flourishing of deep learning, very few studies take into account the optimization of com
Externí odkaz:
https://doaj.org/article/b55adbcc4f4b4b60a04c017cc4aa9812
Autor:
Wanyun Lin, Weiming Lin, Gang Chen, Hejun Zhang, Qinquan Gao, Yechong Huang, Tong Tong, Min Du, the Alzheimer’s Disease Neuroimaging Initiative
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Combining multi-modality data for brain disease diagnosis such as Alzheimer’s disease (AD) commonly leads to improved performance than those using a single modality. However, it is still challenging to train a multi-modality model since it is diffi
Externí odkaz:
https://doaj.org/article/6f860554ff0a4adea4af7e84e2756038
Autor:
Weiming Lin, Qinquan Gao, Jiangnan Yuan, Zhiying Chen, Chenwei Feng, Weisheng Chen, Min Du, Tong Tong
Publikováno v:
Frontiers in Aging Neuroscience, Vol 12 (2020)
Identifying patients with mild cognitive impairment (MCI) who are at high risk of progressing to Alzheimer’s disease (AD) is crucial for early treatment of AD. However, it is difficult to predict the cognitive states of patients. This study develop
Externí odkaz:
https://doaj.org/article/2fcf4dbac6ad4b3c83d96d0e4b821a84