Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Wen Cai Huang"'
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
Except for the traditional chemotherapy, few treatments strategy about miliary intrapulmonary carcinomatosis (MIPC) have been reported in the existing literature. In this report, we primarily discussed the possible etiology and the potentially effect
Externí odkaz:
https://doaj.org/article/0d50cce33e124df4bcde88cf322924be
Publikováno v:
Diagnostics, Vol 12, Iss 9, p 2218 (2022)
Artificial intelligence (AI) adopting deep learning technology has been widely used in the med-ical imaging domain in recent years. It realized the automatic judgment of benign and malig-nant solitary pulmonary nodules (SPNs) and even replaced the wo
Externí odkaz:
https://doaj.org/article/50702d1493814b169e5da58a39c9c840
Autor:
Jia-Ni Zou, Liu Sun, Bin-Ru Wang, You Zou, Shan Xu, Yong-Jun Ding, Li-Jun Shen, Wen-Cai Huang, Xiao-Jing Jiang, Shi-Ming Chen
Publikováno v:
PLoS ONE, Vol 16, Iss 3, p e0248957 (2021)
The characteristics and evolution of pulmonary fibrosis in patients with coronavirus disease 2019 (COVID-19) have not been adequately studied. AI-assisted chest high-resolution computed tomography (HRCT) was used to investigate the proportion of COVI
Externí odkaz:
https://doaj.org/article/8fad415dcae64bbea14e12f13d07d790
Autor:
Fu Zhou, Fei Luo, Kafui Efio-Akolly, Ronald Bbosa, Wen Cai Huang, Jia Ni Zou, Yi Ping Phoebe Chen, Feng Liu
Publikováno v:
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db70dfb340744684ee4ae6c5c1d81698
https://doi.org/10.1109/bibm52615.2021.9669883
https://doi.org/10.1109/bibm52615.2021.9669883
Autor:
You, Zou, Jia-Ni, Zou, Ya-Se, Zhuang, Bin-Ru, Wang, Liu, Sun, Shan, Xu, Sheng-Lan, Li, Li-Jun, Shen, Geng-Tian, Liang, Qing-Quan, Hua, Wen-Cai, Huang, Shi-Ming, Chen
Publikováno v:
Am J Transl Res
The aim of this study was to evaluate factors affecting the recurrence of positive RT-PCR results. By performing a retrospective analysis, we evaluated the clinical data of recurrent positive coronavirus disease 2019 (COVID-19) patients in multiple m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::343fa95bdf0ec6069cb00ff9096e55bf
https://pubmed.ncbi.nlm.nih.gov/34306358
https://pubmed.ncbi.nlm.nih.gov/34306358
Autor:
Jia-Ni, Zou, Yan-Hong, Gao, Bin, Huang, Jin-Xiang, Luo, Yuan-Liang, Jiang, Ran, Lu, Hui-Bin, Tan, Bi-Xi, Li, Wen-Cai, Huang
Publikováno v:
Am J Transl Res
There have been almost no reports on the technique of dynamic volume computed tomography angiography (DVCTA) in children with anomalous origin of the left coronary artery from the pulmonary artery (ALCAPA). Twelve children with ALCAPA, aged 5 months
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::3760c8cbe89d824087b8a5e1f44976be
https://pubmed.ncbi.nlm.nih.gov/34650702
https://pubmed.ncbi.nlm.nih.gov/34650702
Autor:
Yong Jun Ding, Shi‑Ming Chen, Xiao Jing Jiang, Wen Cai Huang, Bin Ru Wang, Jia Ni Zou, Liu Sun, You Zou, Shan Xu, Li-Jun Shen
Publikováno v:
PLoS ONE, Vol 16, Iss 3, p e0248957 (2021)
PLoS ONE
PLoS ONE
The characteristics and evolution of pulmonary fibrosis in patients with coronavirus disease 2019 (COVID-19) have not been adequately studied. AI-assisted chest high-resolution computed tomography (HRCT) was used to investigate the proportion of COVI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d04cd652f56ad17bb60012177d0a0f3
https://doaj.org/article/8fad415dcae64bbea14e12f13d07d790
https://doaj.org/article/8fad415dcae64bbea14e12f13d07d790
Autor:
Yuan-Liang Jiang, Hui-Bin Tan, Biwen Peng, Han-Han Li, Wen-Cai Huang, Ting-Ting Fu, Fei Xiong, Ye Wang, Ran Lu, Tao You
Publikováno v:
Scientific Reports
Scientific reports, 10:18926
Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
Scientific reports, 10:18926
Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
To explore the possibility of predicting the clinical types of Corona-Virus-Disease-2019 (COVID-19) pneumonia by analyzing the non-focus area of the lung in the first chest CT image of patients with COVID-19 by using automatic machine learning (Auto-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09b8980553f197a35fbad0e26db1404c
https://doi.org/10.1038/s41598-020-76141-y
https://doi.org/10.1038/s41598-020-76141-y
Autor:
Han-Han Li, Ran Lu, Tao You, Fei Xiong, Yuanliang Jiang, Ye Wang, Biwen Peng, Wen-Cai Huang, Ting-Ting Fu, Huibin Tan
Objective: To explore the possibility of predicting the clinical types of Corona-Virus-Disease-2019(COVID-19) pneumonia by analyzing the non-focus area of the lung in the first chest CT image of patients with COVID-19 by using automatic machine learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c8f9c8e0408666b4eca25820dc7a6c6
https://doi.org/10.21203/rs.3.rs-32522/v1
https://doi.org/10.21203/rs.3.rs-32522/v1
Autor:
Jian, Zhu, Wen-Cai, Huang, Bin, Huang, Yu, Zhu, Xiao-Jing, Jiang, Jia-Ni, Zou, Gang, Yang, Zheng, Wang, Tao, Ji, Ming-Ming, Gu, Xiang, Zhou, Xu-Hui, Gao
Publikováno v:
Am J Transl Res
Background: COVID-19 patients showed certain characteristic features of multiple signs in bilateral lungs. Some patients only had a single pulmonary lobe lesion, which has not been reported previously. Single pulmonary lobe lesions are easily missed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::e03fa4e0b2a9f98b479dfe6483c2dc3b
https://pubmed.ncbi.nlm.nih.gov/33312385
https://pubmed.ncbi.nlm.nih.gov/33312385