LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation
文献类型：期刊论文
| 作者 | Zhang, Jinghua2; Li, Chen2; Kosov, Sergey1; Grzegorzek, Marcin6; Shirahama, Kimiaki5; Jiang, Tao4 ; Sun, Changhao2,3; Li, Zihan2; Li, Hong2
|
| 刊名 | Pattern Recognition
 |
| 出版日期 | 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. |
| WOS关键词 | CLASSIFICATION |
| 资助项目 | National Natural Science Foundation of China[61806047] |
| 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) |
| 源URL | [http://ir.sia.cn/handle/173321/28500]  |
| 专题 | 沈阳自动化研究所_其他 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.Faculty of Data Engineering, Jacobs University Bremen, Bremen, Germany 2.Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China 3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 4.Control Engineering College, Chengdu University of Information Technology, Chengdu, China 5.Faculty of Science and Engineering, Kindai University, Higashiosaka, Osaka, Japan 6.Institute of Medical Informatics, University of Luebeck, Luebeck, Germany |
| 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。