A Novel Unet Decoding Strategy for Cervical Cell Mass Segmentation
文献类型:会议论文
作者 | Liu GQ(刘广琦)3,4,5,6,7; Ding QH(丁庆海)2,3; Li X(李翔)3,4,5,6,7; Ju MR(鞠默然)1![]() |
出版日期 | 2021 |
会议日期 | December 10-13, 2021 |
会议地点 | Chengdu, China |
关键词 | medical image segmentation cervical cell Unet Sub-pixel convolution Transpose convolution |
页码 | 657-661 |
英文摘要 | A novel Unet decoding strategy for segmentation of cervical cell mass is proposed, which is inspired by the sub-pixel convolution. Our proposed method avoids the artificial information added by interpolation method and the noise introduced by transpose convolution method due to padding. After the implementation of the proposed method on our in-house dataset, the quantitative evaluation shows that the sub-pixel convolution has not only higher metric score but also the stable performance, and our proposed method can be used as a promising decoding method for Unet to segment the cellular clump of the cervical cell images. |
源文献作者 | Sichuan Institute of Electronics (SIE) |
产权排序 | 1 |
会议录 | 2021 7th International Conference on Computer and Communications, ICCC 2021
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会议录出版者 | IEEE |
会议录出版地 | New York |
语种 | 英语 |
ISBN号 | 978-1-6654-0950-6 |
源URL | [http://ir.sia.cn/handle/173321/30562] ![]() |
专题 | 沈阳自动化研究所_光电信息技术研究室 |
通讯作者 | Liu GQ(刘广琦) |
作者单位 | 1.Dalian Maritime Uniersity, Dalian 116026, China 2.Space Star Technology Company, Ltd., Beijing 100086, China 3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 4.University of Chinese Academy of Sciences, Beijing 100049, China 5.Institutes For Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 6.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China 7.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China |
推荐引用方式 GB/T 7714 | Liu GQ,Ding QH,Li X,et al. A Novel Unet Decoding Strategy for Cervical Cell Mass Segmentation[C]. 见:. Chengdu, China. December 10-13, 2021. |
入库方式: OAI收割
来源:沈阳自动化研究所
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