LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation | |
Zhang, Jinghua6; Li, Chen6; Kosov, Sergey5; Grzegorzek, Marcin1; Shirahama, Kimiaki4; Jiang, Tao3; Sun CH(孙昌浩)2,6; Li, Zihan6; Li, Hong6 | |
刊名 | Pattern Recognition
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2021 | |
卷号 | 115页码:1-17 |
关键词 | Environmental miroorganisms Image segmentation Deep convolutional neural networks Low-cost |
ISSN号 | 0031-3203 |
产权排序 | 6 |
英文摘要 | In this paper, we propose a novel Low-cost U-Net (LCU-Net) for the Environmental Microorganism (EM) image segmentation task to assist microbiologists in detecting and identifying EMs more effectively. The LCU-Net is an improved Convolutional Neural Network (CNN) based on U-Net, Inception, and concatenate operations. It addresses the limitation of single receptive field setting and the relatively high memory cost of U-Net. Experimental results show the effectiveness and potential of the proposed LCU-Net in the practical EM image segmentation field. |
资助项目 | National Natural Science Foundation of China[61806047] |
WOS关键词 | CLASSIFICATION |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
WOS记录号 | WOS:000639745600011 |
资助机构 | National Natural Science Foundation of China (No. 61806047) |
内容类型 | 期刊论文 |
源URL | [http://ir.sia.cn/handle/173321/28500] ![]() |
专题 | 沈阳自动化研究所_光电信息技术研究室 |
通讯作者 | Li, Chen |
作者单位 | 1.Institute of Medical Informatics, University of Luebeck, Luebeck, Germany 2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 3.Control Engineering College, Chengdu University of Information Technology, Chengdu, China 4.Faculty of Science and Engineering, Kindai University, Higashiosaka, Osaka, Japan 5.Faculty of Data Engineering, Jacobs University Bremen, Bremen, Germany 6.Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China |
推荐引用方式 GB/T 7714 | Zhang, Jinghua,Li, Chen,Kosov, Sergey,et al. LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation[J]. Pattern Recognition,2021,115:1-17. |
APA | Zhang, Jinghua.,Li, Chen.,Kosov, Sergey.,Grzegorzek, Marcin.,Shirahama, Kimiaki.,...&Li, Hong.(2021).LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation.Pattern Recognition,115,1-17. |
MLA | Zhang, Jinghua,et al."LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation".Pattern Recognition 115(2021):1-17. |
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