Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Kaiyi Peng"'
Autor:
Linhui Hu, Kaiyi Peng, Xiangwei Huang, Zheng Wang, Quanzhong Wu, Yumei Xiao, Yating Hou, Yuemei He, Xinjuan Zhou, Chunbo Chen
Publikováno v:
Trials, Vol 23, Iss 1, Pp 1-11 (2022)
Abstract Background Ventilator-associated pneumonia is a challenge in critical care and is associated with high mortality and morbidity. Although some consensuses on preventing ventilator-associated pneumonia are reached, it is still somewhat controv
Externí odkaz:
https://doaj.org/article/de5a861c7e27488cbfbf7717dd73259c
Autor:
Linhui Hu, Kaiyi Peng, Xiangwei Huang, Zheng Wang, Yuyu Wu, Hengling Zhu, Jingyao Ma, Chunbo Chen
Publikováno v:
European Journal of Medical Research, Vol 27, Iss 1, Pp 1-10 (2022)
Abstract Background Extracorporeal membrane oxygenation (ECMO) to support cardiopulmonary resuscitation (CPR), also known as extracorporeal cardiopulmonary resuscitation (ECPR), has shown encouraging results in refractory cardiac arrest (RCA) resusci
Externí odkaz:
https://doaj.org/article/459a090a72c54be1a9f57fc2547faceb
Autor:
KAIYI PENG, LINHUI HU, XIANGWEI HUANG, YUEMEI HE, XINXIN WU, HUIHUA LI, WENTAO ZHANG, HENGLING ZHU, ZHENG WANG, CHUNBO CHEN
Publikováno v:
ASAIO Journal; Sep2024, Vol. 70 Issue 9, p787-794, 8p
Autor:
Linhui Hu, Kaiyi Peng, Xiangwei Huang, Zheng Wang, Quanzhong Wu, Yumei Xiao, Yating Hou, Yuemei He, Xinjuan Zhou, Chunbo Chen
Publikováno v:
Trials. 23(1)
Background Ventilator-associated pneumonia is a challenge in critical care and is associated with high mortality and morbidity. Although some consensuses on preventing ventilator-associated pneumonia are reached, it is still somewhat controversial. M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::606636c5631f21dbfff13824f8d1aceb
https://pubmed.ncbi.nlm.nih.gov/35681155
https://pubmed.ncbi.nlm.nih.gov/35681155
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 8:468-477
Automatic liver tumour segmentation is an important step towards digital medical research, clinical diagnosis and therapy planning. However, the existence of noise, low contrast and heterogeneity m...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f06abfef80420f8c686d51e2bf6e194b
https://doi.org/10.1080/21681163.2018.1493618
https://doi.org/10.1080/21681163.2018.1493618
Autor:
Bin Fang, Kaiyi Peng
Publikováno v:
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE).
Locate and segment (LAS) framework is an effective method for segmenting pancreas from abdominal CT. Coarse-to-fine is the most widely used LAS framework which has achieved excellent pancreatic segmentation results collaborated with many network arch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d62ddb51d6a29621275b67b8384a47cb
https://doi.org/10.1109/iccece51280.2021.9342350
https://doi.org/10.1109/iccece51280.2021.9342350
Publikováno v:
Pattern Recognition. 73:144-157
Image segmentation is an important step for large-scale image analysis and object recognition. Variational-based segmentation methods are widely studied due to their good performance, but they still suffer from incapability to deal with images bearin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::811f7247458dc288208927efe11fe0ae
https://doi.org/10.1016/j.patcog.2017.08.011
https://doi.org/10.1016/j.patcog.2017.08.011
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 35:2152014
Liver lesion segmentation from abdomen computed tomography (CT) with deep neural networks remains challenging due to the small volume and the unclear boundary. To effectively tackle these problems, in this paper, we propose a cascaded deeply supervis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::152dc6c7ea907ecf7724f6c6719e00ab
https://doi.org/10.1142/s0218001421520145
https://doi.org/10.1142/s0218001421520145
Publikováno v:
Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound ISBN: 9783319675510
BIVPCS/POCUS@MICCAI
BIVPCS/POCUS@MICCAI
Automatic liver tumor segmentation is an important step towards digital medical research, clinical diagnosis and therapy planning. However, the existence of noise, low contrast and heterogeneity make the automatic liver tumor segmentation remaining a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf6e7e49b00504bc519923d09b567652
https://doi.org/10.1007/978-3-319-67552-7_6
https://doi.org/10.1007/978-3-319-67552-7_6
