Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Luzhou Liu"'
Autor:
Jinying ZUO, Jiannong LU, Xuegui YIN, Guanrong HUANG, Liuqin ZHANG, Haihong LIN, Xingyu ZHANG, Luzhou LIU
Publikováno v:
Guangdong nongye kexue, Vol 51, Iss 1, Pp 21-30 (2024)
【Objective】A joint evaluation on Ricinus communis cross combinations was conducted to provide a theoretical reference for screening high-yield varieties suitable for mechanical harvest.【Method】The yield trait, adaptability for mechanical harv
Externí odkaz:
https://doaj.org/article/2154997efad94b2d8400b3d992dfa64e
Autor:
Maoyuan Li, Luzhou Liu, Jie Qi, Ying Qiao, Hanrui Zeng, Wen Jiang, Rui Zhu, Fujian Chen, Huan Huang, Shaoping Wu
Publikováno v:
BMC Medical Imaging, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background The WHO grade and Ki-67 index are independent indices used to evaluate the malignant biological behavior of meningioma. This study aims to develop MRI-based machine learning models to predict the malignant biological behavior of m
Externí odkaz:
https://doaj.org/article/27a618f5bf0346c68e1ff6feb39bc783
Publikováno v:
Applied Sciences, Vol 13, Iss 14, p 8512 (2023)
Accurate segmentation of skin lesions is still a challenging task for automatic diagnostic systems because of the significant shape variations and blurred boundaries of the lesions. This paper proposes a multi-scale convolutional neural network, REDA
Externí odkaz:
https://doaj.org/article/6d4e872a7d3647d59d11b2db2e1059bf
Autor:
Xing Zhou, Xiao Jiang, Luzhou Liu, Xiaoxiong Wang, Chuan Li, Yutang Yao, Ying Kou, Jiaqi Shen, Taipeng Shen, Zeng Li, Shengke Yang, Shukui Zhou, Hong Liao, Zhifu Luo, Xiaoai Wu, Shirong Chen, Zhuzhong Cheng
Publikováno v:
Translational Oncology, Vol 15, Iss 1, Pp 101292- (2022)
Purpose: Prostate-specific membrane antigen (PSMA) ligands targeting has shown promising results in staging of prostate cancer (PCa). The aim of present study was to evaluate the value of 18F-PSMA-1007 PET/CT in PCa patients with biochemical recurren
Externí odkaz:
https://doaj.org/article/af6f41997c3d418ba478c5e2e4a71f83
Publikováno v:
Ionics. 27:2889-2900
As the most promising high-energy-density cathode material for lithium-ion batteries, the Li-rich layered oxide materials (LLOs) suffer from severe voltage decay, which hinders their practical application. In this work, a series of 0.5Li2MnO3∙0.5Li
Autor:
Xing, Zhou, Xiao, Jiang, Luzhou, Liu, Xiaoxiong, Wang, Chuan, Li, Yutang, Yao, Ying, Kou, Jiaqi, Shen, Taipeng, Shen, Zeng, Li, Shengke, Yang, Shukui, Zhou, Hong, Liao, Zhifu, Luo, Xiaoai, Wu, Shirong, Chen, Zhuzhong, Cheng
Publikováno v:
Translational Oncology
Highlights • 18F-PSMA-1007 PET/CT demonstrated a high detection rate for PCa patients with a raised PSA level after radical prostatectomy. PSMA-positive lesions were detected in 56 (56/71, 79%) patients. The detection efficacy for patients with PSA
Publikováno v:
International journal of cardiology. 332
Background We explored the association of epicardial fat volume (EFV) with coronary plaque characteristics, coronary artery calcification (CAC) score, coronary stenosis, lesion-specific ischemia in patients with known or suspected coronary artery dis
Autor:
Zhuzhong Cheng, Wang Xiaoxiong, Shirong Chen, Hong Liao, Chuan Li, Jiaqi Shen, Ying Kou, Shukui Zhou, Zhifu Luo, Yutang Yao, Luzhou Liu, Xiao Jiang, Taipeng Shen, Shengke Yang, Xing Zhou, Zeng Li, Xiaoai Wu
Publikováno v:
Translational Oncology, Vol 15, Iss 1, Pp 101292-(2022)
Purpose Prostate-specific membrane antigen (PSMA) ligands targeting has shown promising results in staging of prostate cancer (PCa). The aim of present study was to evaluate the value of 18F-PSMA-1007 PET/CT in PCa patients with biochemical recurrenc
Autor:
Yingwei Li1 1294999811@qq.com, Xiaoxia Zhang2 aszhangxx@163.com, Luzhou Liu1 liu_luzhou@qq.com
Publikováno v:
Engineering Letters. Feb2024, Vol. 32 Issue 2, p369-378. 10p.
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540877318
ISNN (1)
ISNN (1)
The self-organizing map (SOM) is an unsupervised neural network which projects high-dimensional data onto a low-dimensional. A novel model based on interval self-organizing map(ISOM) whose weights are interval numbers presented in this paper differ f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57f3f83fea6c2577f824a561dae9ba10
https://doi.org/10.1007/978-3-540-87732-5_10
https://doi.org/10.1007/978-3-540-87732-5_10