Cell mitosis detection using deep neural networks
- Submitting institution
-
University of Northumbria at Newcastle
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 25207762
- Type
- D - Journal article
- DOI
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10.1016/j.knosys.2017.08.016
- Title of journal
- Knowledge-Based Systems
- Article number
- -
- First page
- 19
- Volume
- 137
- Issue
- -
- ISSN
- 0950-7051
- Open access status
- Deposit exception
- Month of publication
- September
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
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D - Computer Vision and Natural Computing (CVNC)
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The proposed framework to detect the cell mitosis behaviour is further applied by Guangzhou institutes of Biomedicine and Health, Chinese Academy of Sciences (Dr Ke Fan: fan_ke@gibh.ac.cn) for real cell data analysis, and has been granted a Chinese patent (No. CN201610499189, http://www.pss-system.gov.cn/sipopublicsearch/patentsearch/searchHomeIndex-searchHomeIndex.shtml) in 2018. The proposed deep neural network models for image analysis has been further applied for audio classification and underpinned the subsequent award of project “Deep Learning for Audio Classification “ (Grant No. 18YYJC0728, http://kjt.sc.gov.cn/zhuzhan/gs/20171211/29241.html) founded by Sichuan Science and Technology Program.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -