Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jun Ming Jian"'
Autor:
Lei Zhang, Wei Xia, Zhi-Ping Yan, Jun-Hui Sun, Bin-Yan Zhong, Zhong-Heng Hou, Min-Jie Yang, Guan-Hui Zhou, Wan-Sheng Wang, Xing-Yu Zhao, Jun-Ming Jian, Peng Huang, Rui Zhang, Shen Zhang, Jia-Yi Zhang, Zhi Li, Xiao-Li Zhu, Xin Gao, Cai-Fang Ni
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
ObjectivesTo develop and validate a deep learning-based overall survival (OS) prediction model in patients with hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE) plus sorafenib.MethodsThis retrospective multicenter st
Externí odkaz:
https://doaj.org/article/07a96a5dc8244156a7042b776ce4a5ca
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
Objectives: To establish a radiomic algorithm based on grayscale ultrasound images and to make preoperative predictions of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) patients.Methods: In this retrospective study, 322 cases of hist
Externí odkaz:
https://doaj.org/article/3a21aacd7df6446eab1955dabe169d67
Autor:
Mei Ling Xiao, Yan Wei, Jing Zhang, Jun Ming Jian, Yang Song, Zi Jing Lin, Lan Qian, Guo Fu Zhang, Jin Wei Qiang
Publikováno v:
Academic Radiology. 29:1661-1671
To preoperatively predict lymph node metastasis (LNM) in patients with cervical nonsquamous cell carcinoma (non-SCC) based on magnetic resonance imaging (MRI) texture analysis.This retrospective study included 104 consecutive patients (mean age of 47
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1958e0782e55aef3e48d164d49154d1c
https://doi.org/10.1016/j.acra.2022.01.005
https://doi.org/10.1016/j.acra.2022.01.005
Autor:
Jun Ming Jiang, 姜俊銘
87
With the development of computers, simulation is often used as a method for solving problems. Many simulations need a random number as input and the goodness of their results is strongly dependent on the properties of the random number. The s
With the development of computers, simulation is often used as a method for solving problems. Many simulations need a random number as input and the goodness of their results is strongly dependent on the properties of the random number. The s
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/09984269433424360113
