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Investigating the Relevance of Graph Cut Parameter on Interactive and Automatic Cell Segmentation
Joint Authors
Oyebode, Kazeem Oyeyemi
Du, Shengzhi
Djouani, Karim
van Wyk, Barend Jacobus
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-13
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Graph cut segmentation provides a platform to analyze images through a global segmentation strategy, and as a result of this, it has gained a wider acceptability in many interactive and automatic segmentation fields of application, such as the medical field.
The graph cut energy function has a parameter that is tuned to ensure that the output is neither oversegmented (shrink bias) nor undersegmented.
Models have been proposed in literature towards the improvement of graph cut segmentation, in the context of interactive and automatic cell segmentation.
Along this line of research, the graph cut parameter has been leveraged, while in some instances, it has been ignored.
Therefore, in this work, the relevance of graph cut parameter on both interactive and automatic cell segmentation is investigated.
Statistical analysis, based on F1 score, of three publicly available datasets of cells, suggests that the graph cut parameter plays a significant role in improving the segmentation accuracy of the interactive graph cut than the automatic graph cut.
American Psychological Association (APA)
Oyebode, Kazeem Oyeyemi& Du, Shengzhi& van Wyk, Barend Jacobus& Djouani, Karim. 2018. Investigating the Relevance of Graph Cut Parameter on Interactive and Automatic Cell Segmentation. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1132149
Modern Language Association (MLA)
Oyebode, Kazeem Oyeyemi…[et al.]. Investigating the Relevance of Graph Cut Parameter on Interactive and Automatic Cell Segmentation. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1132149
American Medical Association (AMA)
Oyebode, Kazeem Oyeyemi& Du, Shengzhi& van Wyk, Barend Jacobus& Djouani, Karim. Investigating the Relevance of Graph Cut Parameter on Interactive and Automatic Cell Segmentation. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1132149
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132149