Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Chunzhi Meng"'
Publikováno v:
Journal of Raman Spectroscopy. 54:385-396
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4ea5c82baa4a19808fd8cc183c7ee9c
https://doi.org/10.1002/jrs.6502
https://doi.org/10.1002/jrs.6502
Publikováno v:
In The Journal of China Universities of Posts and Telecommunications December 2016 23(6):90-96
Publikováno v:
2022 International Conference on Knowledge Engineering and Communication Systems (ICKES).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd62eca57fbe6f90d28b4f600c1f0878
https://doi.org/10.1109/ickecs56523.2022.10059731
https://doi.org/10.1109/ickecs56523.2022.10059731
Autor:
Hanwen Qu, Ziwei Yan, Wei Wu, Fangfang Chen, Xiaoyi Lv, Chunzhi Meng, Cheng Chen, Chen Chen, Wenjia Guo
Publikováno v:
Analytical Methods. 13:4642-4651
The diffuse growth of glioma cells leads to gliomatosis, which has less cure rate and high mortality. As the severity deepens, the treatment difficulty and mortality of glioma patients gradually increase. Therefore, a rapid and non-invasive diagnosti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::370b31655808188b0aecd4b66b7a4f02
https://doi.org/10.1039/d1ay00802a
https://doi.org/10.1039/d1ay00802a
Autor:
Haitao Song, Hongyong Leng, Zhuoya Hou, Rui Gao, Cheng Chen, Chunzhi Meng, Jinshan Sun, Chenxi Li, Binlin Ma
Publikováno v:
Photodiagnosis and photodynamic therapy. 40
Due to limitations in disease prevalence and hospital specificity, spectral data are often collected with unbalanced sample size. To solve this problem, a new sampling method - grouped-sampling was proposed in this research, which is shown to be effe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::683fd4409fd26042e5dd936fbd815f04
https://pubmed.ncbi.nlm.nih.gov/35944847
https://pubmed.ncbi.nlm.nih.gov/35944847
Autor:
Chunzhi Meng, Hongyi Li, Chen Chen, Wei Wu, Jing Gao, Yining Lai, Mila Ka, Min Zhu, Xiaoyi Lv, Fangfang Chen, Cheng Chen
In recent years, liver cancer has caused great harm to human health. This study aims to use serum Raman spectroscopy combined with deep learning algorithms to classify liver cancer patients and control groups. For improving the robustness of models,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cf9763b649fad65385efbe69402dcf4
Publikováno v:
Photodiagnosis and Photodynamic Therapy. 35:102308
Glioma has a low cure rate and a high mortality rate. Therefore, correct diagnosis and treatment are essential for patients. This research aims to use mid-infrared spectroscopy combined with machine learning algorithms to identify patients with gliom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b05f28a94587ceedb767c29c2bb6bd4
https://doi.org/10.1016/j.pdpdt.2021.102308
https://doi.org/10.1016/j.pdpdt.2021.102308