2018 18th International Conference on Control, Automation and Systems (ICCAS)最新文献

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Black-Box Expectation-Maximization Algorithm for Estimating Latent States of High-Speed Vehicles 高速车辆潜在状态估计的黑箱期望最大化算法

2018 18th International Conference on Control, Automation and Systems (ICCAS) Pub Date : 2018-10-17 DOI: 10.2514/1.I010831

Yoon-Yeong Kim, Hyemi Kim, Wonsung Lee, Han-Lim Choi, Il-Chul Moon

引用次数: 1

Automatic Extraction of Abnormalities on Temporal CT Subtraction Images Using Sparse Coding and 3D-CNN 基于稀疏编码和3D-CNN的颞部CT减影图像异常自动提取

2018 18th International Conference on Control, Automation and Systems (ICCAS) Pub Date : 2018-10-01 DOI: 10.5954/icarob.2020.gs3-3

Yuichi Koizumi, N. Miyake, Huimin Lu, Hyoungseop Kim, S. Murakami, T. Aoki, S. Kido

{"title":"Automatic Extraction of Abnormalities on Temporal CT Subtraction Images Using Sparse Coding and 3D-CNN","authors":"Yuichi Koizumi, N. Miyake, Huimin Lu, Hyoungseop Kim, S. Murakami, T. Aoki, S. Kido","doi":"10.5954/icarob.2020.gs3-3","DOIUrl":"https://doi.org/10.5954/icarob.2020.gs3-3","url":null,"abstract":"In recent years, the proportion of deaths from cancer tends to increase in Japan, especially the number of deaths from lung cancer is increasing. CT device is effective for early detection of lung cancer. However, there is concern that an increase in burden on doctors will be caused by high performance of CT improving. Therefore, by presenting the “second opinion” by the CAD system, it reduces the burden on the doctor. In this paper, we develop a CAD system for automatic detection of lesion candidate regions such as lung nodules or ground glass opacity (GGO) from 3D CT images. Our proposed method consists of three steps. In the first step, lesion candidate regions are extracted using temporal subtraction technique. In the second step, the image is reconstructed by sparse coding for the extracted region. In the final step, 3D Convolutional Neural Network (3D-CNN) identification using reconstructed images is performed. We applied our method to 51 cases and True Positive rate (TP) of 79.81 % and False Positive rate (FP) of 37.65 % are obtained.","PeriodicalId":129520,"journal":{"name":"2018 18th International Conference on Control, Automation and Systems (ICCAS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121664619","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

Load Speed Control of Two-inertia System by Load Speed/Torque Estimation and Torsion Torque Compensation 基于负载速度/转矩估计和转矩补偿的双惯量系统负载速度控制

2018 18th International Conference on Control, Automation and Systems (ICCAS) Pub Date : 2018-05-31 DOI: 10.5302/J.ICROS.2018.18.0036

Daehan Kim, J. Back

引用次数: 1