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  The benchmark data SET CeTReS.B-MI for in vitro mitosis detection

Becker, T., Kanje, W., Rapoport, D., Thierbach, K., Scherf, N., Roeder, I., et al. (2014). The benchmark data SET CeTReS.B-MI for in vitro mitosis detection. In Proceedings of the 11th International Symposium on Biomedical Imaging (ISBI) (pp. 469-472). doi:10.1109/ISBI.2014.6867910.

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 Creators:
Becker, T., Author
Kanje, W., Author
Rapoport, D., Author
Thierbach, K., Author
Scherf, Nico1, Author           
Roeder, I., Author
Mamlouk, A. M., Author
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1External Organizations, ou_persistent22              

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Free keywords: Data paper; Phase contrast microscopy; Time lapse imaging; Benchmark data; Mitosis detection
 Abstract: Mitosis detection poses a major challenge in cell tracking as mitoses are crucial events in the construction of genealogical trees. Making use of typical mitotic patterns that can be seen in phase contrast images of time lapse experiments, we propose a new benchmark data set CeTReS.B-MI consisting of mitotic and non-mitotic cells from the publicly accessible, fully labeled data set CeTReS.B. Using this data, two simple mitosis detectors (based on compactness and intensity) are used exemplarily to train, test and compare their ability to detect mitotic events. As a gold standard, we propose a linear support vector machine (SVM), which is able to separate the classes with a high accuracy (AUC=0.993). To illustrate the potential impact of a robust mitosis detection, the proposed classifiers are combined with two state of the art cell tracking algorithms. For both algorithms, performance does change when adding mitosis detection. Finally, this evaluation also emphasizes how easy implementation and comparison becomes, having suitable benchmark data at hand.

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Language(s): eng - English
 Dates: 2014-07-31
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/ISBI.2014.6867910
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Title: Proceedings of the 11th International Symposium on Biomedical Imaging (ISBI)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 469 - 472 Identifier: -