Zobrazeno 1 - 10 of 25 pro vyhledávání: '"Zhong Shi He"'
1
Log odds of positive lymph nodes is superior to the number- and ratio-based lymph node classification systems for colorectal cancer patients undergoing curative (R0) resection
Autor: Fu Xiang Zhou, Hong Zhao, Hui Yang, Yun Feng Zhou, Hong Yan Fang, Zhong Shi He, Zhenming Fu
The metastatic lymph node status (N classification) is an important prognostic factor for patients with colorectal cancer (CRC). The aim of the present study was to evaluate and compare the prognostic assessment of three different lymph node staging
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9e557f336430a7eca839552f09785ec
https://europepmc.org/articles/PMC5431519/
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2
A Novel Segmentation Method of Roads and Slopes for Collapse Recognition
Autor: Yuan Yuan Jia, Zhong Shi He, Zong Ling Yan
Publikováno v: Advanced Materials Research. 663:137-143
Color image processing is seldom used in the recognition of roads and slopes collapse. And the application can bring great advantages to the traffic safety. Color image segmentation is the first and key step of the recognition system. By analyzing ex
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ee404a94823f0a576a8e3f2825cab6ba
https://doi.org/10.4028/www.scientific.net/amr.663.137
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4
The Scheduling Algorithm of Grid Task Based on PSO and Cloud Model
Autor: Shao Bo Zhong, Zhong Shi He
Publikováno v: Key Engineering Materials. :1487-1492
Grid task scheduling (GTS) is a NP-hard problem. This paper proposes an optimized GTS algorithm which combines with the advantages of cloud model based on the particle swarm optimization algorithm. This algorithm iterates tasks utilizing the advantag
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e5dddde974c5855474308aed38e39129
https://doi.org/10.4028/www.scientific.net/kem.439-440.1487
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5
Two-Dimensional Locality Discriminant Preserving Projections for Face Recognition
Autor: Qi Rong Zhang, Zhong Shi He
Publikováno v: Advanced Materials Research. :391-398
In this paper, we propose a new face recognition approach for image feature extraction named two-dimensional locality discriminant preserving projections (2DLDPP). Two-dimensional locality preserving projections (2DLPP) can direct on 2D image matrixe
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2d257b2248a837f526edf8ee2394ee09
https://doi.org/10.4028/www.scientific.net/amr.121-122.391
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8
SVM-Based Classification Method for Poetry Style
Autor: Liang-Yan Li, Wen-Ting Liang, Yu-Fang Tian, Zhong-Shi He
Publikováno v: 2007 International Conference on Machine Learning and Cybernetics.
Bold-and-unconstrained style and Graceful-and-restrained style can characterize poetry's taste, which usually is judged personally, so the assessment is always subjective. If the methods of Machine Learning can be used to assess poetry style, it will
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c1738a27440996fbc53c2af789d9d978
https://doi.org/10.1109/icmlc.2007.4370650
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9
LDA-SVM-Based EGFR Mutation Model for NSCLC Brain Metastases
Autor: Nan Hu, Shi-Feng Chen, Zhen-Zhou Yang, Chuan Chen, Yong He, Ding-De Huang, Ming Huang, Yu-Hao Wu, Hualiang Xiao, Ge Wang, Kun-Lin Xiong, Zhong-Shi He, Guo-Dong Liu, Xue-Qin Yang, Dong Wang, Yan Wu
Publikováno v: Medicine
Supplemental Digital Content is available in the text
Epidermal growth factor receptor (EGFR) activating mutations are a predictor of tyrosine kinase inhibitor effectiveness in the treatment of non–small-cell lung cancer (NSCLC). The objective
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac8fdf364c49266b0997c8161dfb6c1c
https://doi.org/10.1097/md.0000000000000375
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