Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Ruoxiu Xiao"'
Autor:
Cheng Chen, Huilin Wang, Yunqing Chen, Zihan Yin, Xinye Yang, Huansheng Ning, Qian Zhang, Weiguang Li, Ruoxiu Xiao, Jizong Zhao
Publikováno v:
Brain-X, Vol 1, Iss 3, Pp n/a-n/a (2023)
Abstract Owing to their superior capabilities and advanced achievements, Transformers have gradually attracted attention with regard to understanding complex brain processing mechanisms. This study aims to comprehensively review and discuss the appli
Externí odkaz:
https://doaj.org/article/58d50a28d5a340a8a057d3bc379faf24
Autor:
Xiaohui Zhao, Xueqin Shen, Wenbo Wan, Yuanyuan Lu, Shidong Hu, Ruoxiu Xiao, Xiaohui Du, Junlai Li
Publikováno v:
IEEE Access, Vol 10, Pp 27917-27924 (2022)
Nowadays, diagnosis of thyroid nodules is mainly based on clinical methods, which requires a lot of manpower and medical resources. Therefore, this work proposes an automated thyroid ultrasound nodule diagnosis method that combines convolutional neur
Externí odkaz:
https://doaj.org/article/08a4cddab8a34afc8ab561c92e54513d
Autor:
Xiaoyu Guo, Cheng Chen, Yuanyuan Lu, Ke Meng, Hongyu Chen, Kangneng Zhou, Zhiliang Wang, Ruoxiu Xiao
Publikováno v:
IEEE Access, Vol 8, Pp 194551-194560 (2020)
Retinal blood vessels are the basis for clinical diagnosis of some diseases. Achieving automatic retinal vessel segmentation from fundus images is an important and challenging work. In this paper, a neural network architecture based on the Dense U-ne
Externí odkaz:
https://doaj.org/article/8029d4bf7f934e87806dcefef3b4ad56
Autor:
Ruoxiu Xiao, Jiayu Wang, Xiaoyu Guo, Cheng Chen, Kangneng Zhou, Xintong Wu, Ping Liang, Jian Yang
Publikováno v:
IEEE Access, Vol 8, Pp 16989-17001 (2020)
Identification of the coronary artery in sequence angiograms is an important issue in the analysis and treatment of coronary angiography data, due to the ambiguities in the coronary vessels resulting from cardiac motion and the differences in the pro
Externí odkaz:
https://doaj.org/article/514f3a9e7a5a4b8ea555b8863ca84821
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3438 (2023)
Explainability in medical images analysis plays an important role in the accurate diagnosis and treatment of tumors, which can help medical professionals better understand the images analysis results based on deep models. This paper proposes an expla
Externí odkaz:
https://doaj.org/article/eb1ea7d747ff42b49b7eb9c47325b051
Autor:
Cheng Chen, Li Zhan, Xiaoxin Pan, Zhiliang Wang, Xiaoyu Guo, Handai Qin, Fen Xiong, Wei Shi, Min Shi, Fei Ji, Qiuju Wang, Ning Yu, Ruoxiu Xiao
Publikováno v:
Frontiers in Medicine, Vol 7 (2021)
Background: Auditory brainstem response (ABR) testing is an invasive electrophysiological auditory function test. Its waveforms and threshold can reflect auditory functional changes in the auditory centers in the brainstem and are widely used in the
Externí odkaz:
https://doaj.org/article/6060b703ea94499ca7e8210b436d1e54
Autor:
Weicai Huang, Kangneng Zhou, Yuming Jiang, Chuanli Chen, Qingyu Yuan, Zhen Han, Jingjing Xie, Shitong Yu, Zepang Sun, Yanfeng Hu, Jiang Yu, Hao Liu, Ruoxiu Xiao, Yikai Xu, Zhiwei Zhou, Guoxin Li
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
Objective: The aim of this study is to evaluate whether radiomics imaging signatures based on computed tomography (CT) could predict peritoneal metastasis (PM) in gastric cancer (GC) and to develop a nomogram for preoperative prediction of PM status.
Externí odkaz:
https://doaj.org/article/5fe1b818a219452c967f130dc560b133
Publikováno v:
Applied Sciences, Vol 12, Iss 1, p 309 (2021)
The human attention mechanism can be understood and simulated by closely associating the saliency prediction task to neuroscience and psychology. Furthermore, saliency prediction is widely used in computer vision and interdisciplinary subjects. In re
Externí odkaz:
https://doaj.org/article/127ffc030f5244d2b6782822d1f67bbc
Publikováno v:
Diagnostics, Vol 11, Iss 11, p 1942 (2021)
(1) Background: COVID-19 has been global epidemic. This work aims to extract 3D infection from COVID-19 CT images; (2) Methods: Firstly, COVID-19 CT images are processed with lung region extraction and data enhancement. In this strategy, gradient cha
Externí odkaz:
https://doaj.org/article/08b8ddd4758d43b2b95187f2f6862b1a
Publikováno v:
Mathematical Problems in Engineering. 2023:1-8
This study determined the value of mixed-reality (MR) technology for doctor-patient communication, preoperative planning, intraoperative navigation, and tumor localization in treating patients with breast cancer. Fifty-eight patients with breast spac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::957746bea05b4b30dccc2381bd261b07
https://doi.org/10.1155/2023/2919259
https://doi.org/10.1155/2023/2919259