| Title | Computer Aided Cancer Regions Detection of Hepatocellular Carcinoma in Whole-slide Pathological Images based on Deep Learning |
| Author | |
| DOI | |
| Publication Years | 2019
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| ISBN | 978-1-7281-4856-4
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| Source Title | |
| Pages | 1-6
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| Conference Date | 22-24 Nov. 2019
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| Conference Place | Shenzhen, China
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| Keywords | |
| SUSTech Authorship | Others
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| URL | [Source Record] |
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9098213 |
| Citation statistics |
Cited Times [WOS]:0
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| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/347987 |
| Department | The Third People's Hospital of Shenzhen |
| Affiliation | 1.Shenzhen Institute of Advanced Technology,Chinese Academy of Science,Shenzhen,China 2.The Second Affiliated Hospital of Southern University of Science and Technology,Department of Pathology,Shenzhen,China 3.Shenzhen Institute of Advanced Technology, Chinese Academy of Science Northeastern University,Shenzhen,China 4.12Sigma Technologies |
| Recommended Citation GB/T 7714 |
Songhui Diao,Weiren Luo,Jiaxin Hou,et al. Computer Aided Cancer Regions Detection of Hepatocellular Carcinoma in Whole-slide Pathological Images based on Deep Learning[C],2019:1-6.
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| Files in This Item: | There are no files associated with this item. | |||||
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