2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)最新文献_第3页

Smooth Multiobjective Portfolio Optimization Model and Its Solving Method 光滑多目标投资组合优化模型及其求解方法

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/ICITBE54178.2021.00048

Chun-an Liu, T. Jiang

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Cosponsors 联署。

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/icitbe54178.2021.00009

引用次数: 0

Deep Learning’s Application on Radiology and Pathological Image of Lung Cancer: A Review 深度学习在肺癌影像学和病理图像中的应用综述

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/ICITBE54178.2021.00071

Han Wang, Lumin Xing

引用次数: 1

Investigation of Time-delay Nonlinear Dynamic System in Batch Fermentation with Differential Evolution Algorithm 用差分进化算法研究间歇发酵时滞非线性动态系统

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/ICITBE54178.2021.00031

Zhang Pai, Yang Qi

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Strategic Analysis of Green Marketing in Chinese Textile and Garment Industry under the Background of Big Data 大数据背景下中国纺织服装行业绿色营销策略分析

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/ICITBE54178.2021.00051

Weijian Li, Chenggang Li

引用次数: 1

Study on The Method and Performance of Ceramsite Manufactured from Zipingpu Reservoir Sediment 紫坪铺水库泥沙陶粒制备方法及性能研究

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/ICITBE54178.2021.00090

L. You, Kunpeng Li, Hong Li, H. Shi, Chen Chen

{"title":"Study on The Method and Performance of Ceramsite Manufactured from Zipingpu Reservoir Sediment","authors":"L. You, Kunpeng Li, Hong Li, H. Shi, Chen Chen","doi":"10.1109/ICITBE54178.2021.00090","DOIUrl":"https://doi.org/10.1109/ICITBE54178.2021.00090","url":null,"abstract":"Zipingpu Reservoir sediment is used as raw material to prepare ceramsite. Through the analysis of the ceramsite composition and mineral composition, the feasibility of making silt ceramsite was discussed. The influence of sintering temperature and admixtures on the structure and properties of the prepared ceramsite was discussed from technical indicators such as the surface glass phase, pore size, internal structure and porosity of the ceramsite, and the optimal manufacturing process parameters of the ceramsite were determined. The results show that the composition of Zipingpu Reservoir’s silt meets the requirements of the chemical composition of ceramsite and has marvelous conditions for preparing expanded ceramsite. With the increase of sintering temperature, the skeleton structure of ceramsite is gradually dense, meanwhile, the surface pores and the internal closed pore diameter increases.When the sintering temperature is 1175°C and the holding time is 20 minutes, the silt ceramsite structure with 100% silt ratio is the densest. Its closed pores are dense and uniform, and there are fewer interconnected pores. The best quality ratio of silt and basalt powder to prepare silt ceramsite is 93:7. The effect on the performance of silt ceramsite is sintering temperature, pore-forming agent, and holding time in descending order.","PeriodicalId":207276,"journal":{"name":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124050722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessment of breast cancer mesenchymal tumor infiltrating lymphocytes based on regional segmentation and nuclear segmentation classification 基于区域分割和核分割分类的乳腺癌间充质肿瘤浸润淋巴细胞的评价

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/ICITBE54178.2021.00066

Zhenrong Lin, Zhiyong Xiong, Chengyan Wei, Weili Wang, Zhiming Peng

{"title":"Assessment of breast cancer mesenchymal tumor infiltrating lymphocytes based on regional segmentation and nuclear segmentation classification","authors":"Zhenrong Lin, Zhiyong Xiong, Chengyan Wei, Weili Wang, Zhiming Peng","doi":"10.1109/ICITBE54178.2021.00066","DOIUrl":"https://doi.org/10.1109/ICITBE54178.2021.00066","url":null,"abstract":"Histological assessment of mesenchymal tumor infiltrating lymphocytes (sTIL) can serve as a proxy for host immune response and has been shown to be prognostic and potentially chemically predictive in Her2 positive and triple negative breast cancers. Current manual assessment practices are discrepancy between Intra- and Inter-observer. To address this challenge, this paper proposes a region segmentation- based and nuclear segmentation classification method for sTIL assessment of H&E-stained breast cancer pathology images.The experimental results of mesenchymal region segmentation showed that the LinkNet-based segmentation method could effectively segment the mesenchymal region of breast cancer pathology images with a segmentation accuracy DICE index of 0.9274. The experimental results of nuclear cell classification showed that the Random Forest classifier outperformed other nuclear classification methods with an Accuracy index of 0.837. And the best F1-score index was obtained for the classification of epithelial cells, lymphocytes, and mesenchymal cells, with 0.744, 0.752, and 0.639, respectively. in addition, the correlation between the pathologist score and the calculated sTIL score was analyzed in this paper, in which the pathologist consensus score and the calculated sTIL score was highly correlated, correspondingly a Spearman correlation coefficient r was 0.869, which was greater than the Spearman correlation coefficient r of 0.851 for the inter-pathologist score. The finds verified the validity of the sTIL score calculation based on the regional segmentation and nuclear segmentation classification method proposed in this paper.","PeriodicalId":207276,"journal":{"name":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127340260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

The Application of Blockchain to Electronic Health Record Systems:A Review 区块链在电子健康记录系统中的应用综述

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/ICITBE54178.2021.00092

Han Wang, Ruoyu Zhou

引用次数: 0

An adaptive error correction method for array receiver 一种阵列接收机自适应纠错方法

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/ICITBE54178.2021.00018

Jihong Yan, Cong-cong Li, Jianshu Zhai, Li Yang, Weihan Ni, Haiyang Dong, Huan Zhang

引用次数: 0

A mixing model for monitoring trace oil at sea 用于海上痕量油监测的混合模型

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/ICITBE54178.2021.00012

Huimin Lu, Yundong Han, Weili Liu

{"title":"A mixing model for monitoring trace oil at sea","authors":"Huimin Lu, Yundong Han, Weili Liu","doi":"10.1109/ICITBE54178.2021.00012","DOIUrl":"https://doi.org/10.1109/ICITBE54178.2021.00012","url":null,"abstract":"Oil spill has become one of the most serious marine pollution. Oil films gradually disperse into trace oil after accidents, still harmful to marine environment. It can cause various forms of direct harm to marine organisms, which is manifested in chronic toxicity. Accordingly, the amount of oil spilled into sea is of vital importance to environment protection. Airborne and spaceborne hyperspectral sensors are widely used for detecting and monitoring information such as human activities and environmental changes. Due to the limitation of spatial resolution, the spectral information is recorded as reflectance of a mixture of materials. Nonlinear interactions occur in the scene containing water. In order to extract the abundances of oil spills at sea, nonlinear mixture models have been developed. For trace oil, fractional abundance is at such a low order of magnitude that accurate description of the complex effect between oil and seawater remains a challenge. In this paper, a new mixing model is proposed to approximate the complex nonlinear interactions. It delivers a better understanding of the mixture in terms of trace oil as in-depth element in the seawater. Synthetic data is used to test the model. Experiment results show that unmixing with the proposed model leads to an accurate and stable fractional abundance distribution, even when oil abundance is at 06 level.","PeriodicalId":207276,"journal":{"name":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","volume":"381 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131764287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0