Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Shengxin Tao"'
Autor:
Xuanchen Yan, Jianjian Wang, Jingwen Yao, Janne Estill, Shouyuan Wu, Jie Lu, Baoping Liang, Hongmin Li, Shengxin Tao, Huanli Bai, Hongliang Liu, Yaolong Chen, on behalf of COVID-19 evidence and recommendations working group
Publikováno v:
BMC Infectious Diseases, Vol 21, Iss 1, Pp 1-7 (2021)
Abstract Background In December 2019, a pneumonia caused by SARS-CoV-2 emerged in Wuhan, China and has rapidly spread around the world since then. This study is to explore the patient characteristics and transmission chains of COVID-19 in the populat
Externí odkaz:
https://doaj.org/article/578b09fdb0cf4eb784dba6ebc3fe5ce0
Publikováno v:
IEEE Access, Vol 8, Pp 122811-122825 (2020)
The incidence of skin cancer around the world is increasing year by year. However, early diagnosis and treatment can greatly improve the survival rate of patients. Skin lesion boundary segmentation is essential to accurately locate lesion areas in de
Externí odkaz:
https://doaj.org/article/941831f8585a4360aa029d3b3a9a0765
Publikováno v:
Sensors, Vol 21, Iss 18, p 6177 (2021)
Segmentation of retinal vessels is a critical step for the diagnosis of some fundus diseases. Methods: To further enhance the performance of vessel segmentation, we propose a method based on a gated skip-connection network with adaptive upsampling (G
Externí odkaz:
https://doaj.org/article/0bec1b3194ed4955b342922da7357795
Publikováno v:
Sensors, Vol 21, Iss 10, p 3462 (2021)
The automatic segmentation of skin lesions is considered to be a key step in the diagnosis and treatment of skin lesions, which is essential to improve the survival rate of patients. However, due to the low contrast, the texture and boundary are diff
Externí odkaz:
https://doaj.org/article/e979a34046464b0d84969a9018d9a112
Autor:
Jianjian Wang, Hongmin Li, Xuanchen Yan, Janne Estill, Jingwen Yao, Baoping Liang, Yaolong Chen, Jie Lu, Shengxin Tao, Huanli Bai, Hongliang Liu, Shouyuan Wu
Publikováno v:
BMC Infectious Diseases, Vol 21, Iss 1, Pp 1-7 (2021)
BMC infectious diseases, Vol. 21, No 1 (2021) P. 146
BMC Infectious Diseases
BMC infectious diseases, Vol. 21, No 1 (2021) P. 146
BMC Infectious Diseases
Background In December 2019, a pneumonia caused by SARS-CoV-2 emerged in Wuhan, China and has rapidly spread around the world since then. This study is to explore the patient characteristics and transmission chains of COVID-19 in the population of Ga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d27c71b23658ea18d8ba7926a172464
https://doaj.org/article/578b09fdb0cf4eb784dba6ebc3fe5ce0
https://doaj.org/article/578b09fdb0cf4eb784dba6ebc3fe5ce0
Publikováno v:
IEEE Access, Vol 8, Pp 122811-122825 (2020)
The incidence of skin cancer around the world is increasing year by year. However, early diagnosis and treatment can greatly improve the survival rate of patients. Skin lesion boundary segmentation is essential to accurately locate lesion areas in de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f39efe8372562bb3faaa0946a29a2b9
https://ieeexplore.ieee.org/document/9133532/
https://ieeexplore.ieee.org/document/9133532/
Publikováno v:
Sensors, Vol 21, Iss 6177, p 6177 (2021)
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 18
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 18
Segmentation of retinal vessels is a critical step for the diagnosis of some fundus diseases. Methods: To further enhance the performance of vessel segmentation, we propose a method based on a gated skip-connection network with adaptive upsampling (G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61ec249d34feae698e47df2a66e53e9b
https://www.mdpi.com/1424-8220/21/18/6177
https://www.mdpi.com/1424-8220/21/18/6177
Background Cardiovascular disease (CVD), as a chronic disease, has been perplexing human beings and is one of the serious diseases endangering life and health. Therefore, using the electronic medical record information of patients to automatically pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::132c7b033d61f4cb6dc4f544a2cfb052
https://doi.org/10.21203/rs.3.rs-31061/v1
https://doi.org/10.21203/rs.3.rs-31061/v1
Autor:
Huanli Bai, Janne Estill, Jie Lu, Jingwen Yao, Yaolong Chen, Jianjian Wang, Xuanchen Yan, Shengxin Tao, Hongmin Li, Hongliang Liu, Baoping Liang, Shouyuan Wu
Objective This study is to explore the patient characteristics and transmission chains of COVID-19 in the population of Gansu province, and support decision-making. Methods We collected data from Gansu National Health Information Platform. We conduct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f8e50e195c45709701ceb988ee606bb
https://doi.org/10.21203/rs.3.rs-23005/v1
https://doi.org/10.21203/rs.3.rs-23005/v1
Publikováno v:
2020 2nd International Conference on Advances in Computer Technology, Information Science and Communications (CTISC).
Deep neural networks usually contain tens to hundreds of millions of orders of learning parameters that provide the necessary representation to solve various visual tasks. But with the increase of the representational ability, the possibility of over
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6719c34431aef59b1b0242df15e90b6
https://doi.org/10.1109/ctisc49998.2020.00027
https://doi.org/10.1109/ctisc49998.2020.00027