Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Xuejiao Pang"'
Publikováno v:
Diagnostics, Vol 11, Iss 4, p 694 (2021)
At present, the application of artificial intelligence (AI) based on deep learning in the medical field has become more extensive and suitable for clinical practice compared with traditional machine learning. The application of traditional machine le
Externí odkaz:
https://doaj.org/article/b8fe3df294584af1b5993af9d7bb9b87
Publikováno v:
Journal of Computational Design and Engineering. 10:368-381
For endoscopists, large-scale screening of gastrointestinal (GI) diseases is arduous and time-consuming. While their workload and human factor-induced errors can be reduced by computer-aided diagnosis (CAD) systems, the existing ones mainly focus on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20632239ce70aae76497f0a010f72fca
https://doi.org/10.1093/jcde/qwac138
https://doi.org/10.1093/jcde/qwac138
Autor:
Jiaxin Su, Jinya Du, Rujiao Ge, Chenyang Sun, Yuchun Qiao, Wei Wei, Xuejiao Pang, Yufan Zhang, Huiting Lu, Haifeng Dong
Publikováno v:
Analytical Chemistry. 94:13108-13116
DNAzyme shows great promise in designing a highly sensitive and specific sensing platform; however, the low cellular uptake efficiency, instability, and especially the insufficient cofactor supply inhibit the intracellular molecule sensor application
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79e2801e18f8cd45cacb8a8af50a2c29
https://doi.org/10.1021/acs.analchem.2c02547
https://doi.org/10.1021/acs.analchem.2c02547
Publikováno v:
Internet of Things – ICIOT 2022 ISBN: 9783031235818
Big Data – BigData 2022 ISBN: 9783031235009
Big Data – BigData 2022 ISBN: 9783031235009
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be50a0eaadc6af099fa008c76a78653e
https://doi.org/10.1007/978-3-031-23582-5_5
https://doi.org/10.1007/978-3-031-23582-5_5
Autor:
Miao Liu, Fan Yang, Zhongzhu Yang, Jingsheng Chen, Yi Shi, Bin Li, Yan Wang, Xuejiao Pang, Jilong Han
Publikováno v:
Journal of Earth Science. 32:103-115
The Erdaogou gold deposit is located in the conjuncture of North China Carton and Xingmeng orogenic belt. The ore-forming process of Erdaogou gold deposit is divided into three stages (I to III), which are quartz-pyrite stage (stage I), quartz-polyme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce88903dce958b36238550d8e3371037
https://doi.org/10.1007/s12583-020-1068-5
https://doi.org/10.1007/s12583-020-1068-5
Autor:
Xiangdan Meng, Xuejiao Pang, Kai Zhang, Chenchen Gong, Junyan Yang, Haifeng Dong, Xueji Zhang
Publikováno v:
Small (Weinheim an der Bergstrasse, Germany). 18(31)
Fluorescence imaging with high sensitivity and minimal invasiveness has received tremendous attention, which can accomplish visualized monitoring and evaluation of cancer progression. Compared with the conventional first near-infrared (NIR-I) optical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3b0acaf9371b6df5f477f0484ff73fb
https://pubmed.ncbi.nlm.nih.gov/35762403
https://pubmed.ncbi.nlm.nih.gov/35762403
Autor:
Quan Yuan, Mao Li, Rui Zhou, Hu Su, Hao Feng, Jing Wang, Xuejiao Pang, Siyao Wang, Tianlei Zhang, Xiaohu Fan
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030965655
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9780a9ca7421d2ebff730ce32e7ff9c
https://doi.org/10.1007/978-3-030-96566-2_5
https://doi.org/10.1007/978-3-030-96566-2_5
Publikováno v:
Big Data – BigData 2021 ISBN: 9783030962814
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34035df8292879c71faf07027a822fa8
https://doi.org/10.1007/978-3-030-96282-1_3
https://doi.org/10.1007/978-3-030-96282-1_3
Publikováno v:
Electronics; Volume 11; Issue 12; Pages: 1911
Brain tumors are one of the deadliest cancers in the world. Researchers have conducted a lot of research work on brain tumor segmentation with good performance due to the rapid development of deep learning for assisting doctors in diagnosis and treat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6107fd5f31bfbef5234a2c785dad6ba4
https://doi.org/10.3390/electronics11121911
https://doi.org/10.3390/electronics11121911
Publikováno v:
Journal of Computational Design & Engineering; Aug2022, Vol. 9 Issue 4, p1525-1537, 13p