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  Crowd Sourcing Image Segmentation with iaSTAPLE

Schlesinger, D., Jug, F., Myers, G., Rother, C., & Kainmueller, D. (2017). Crowd Sourcing Image Segmentation with iaSTAPLE. In G. Egan (Ed.), 14th. IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI 2017; Proceedings (pp. 401-405). Piscataway, N.J.: IEEE.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0002-8BC0-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0002-8BC1-7
Genre: Conference Paper

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https://publications.mpi-cbg.de/Schlesinger_2017_6913.pdf (Any fulltext)
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 Creators:
Schlesinger, Dmitrij, Author
Jug, Florian1, Author           
Myers, Gene1, Author           
Rother, Carsten, Author
Kainmueller, Dagmar1, Author           
Egan, Garry, Editor
Affiliations:
1Max Planck Institute for Molecular Cell Biology and Genetics, ou_2340692              

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 Abstract: We propose a novel label fusion technique as well as a crowdsourcing protocol to efficiently obtain accurate epithelial cell segmentations from non-expert crowd workers. Our label fusion technique simultaneously estimates the true segmentation, the performance levels of individual crowd workers, and an image segmentation model in the form of a pairwise Markov random field. We term our approach image-aware STAPLE (iaSTAPLE) since our image segmentation model seamlessly integrates into the well-known and widely used STAPLE approach. In an evaluation on a light microscopy dataset containing more than 5000 membrane labeled epithelial cells of a fly wing, we show that iaSTAPLE outperforms STAPLE in terms of segmentation accuracy as well as in terms of the accuracy of estimated crowd worker performance levels, and is able to correctly segment 99% of all cells when compared to expert segmentations. These results show that iaSTAPLE is a highly useful tool for crowd sourcing image segmentation. © 2017 IEEE.

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 Dates: 2017-06-15
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: cbg-6913
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Title: 14th. IEEE International Symposium on Biomedical Imaging, ISBI 2017
Place of Event: Melbourne
Start-/End Date: 2017-04-18 - 2017-04-21

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Title: 14th. IEEE International Symposium on Biomedical Imaging: From Nano to Macro ; ISBI 2017 ; Proceedings
Source Genre: Proceedings
 Creator(s):
Egan, Garry, Editor
Affiliations:
-
Publ. Info: Piscataway, N.J. : IEEE
Pages: - Volume / Issue: 14th. IEEE International Symposium on Biomedical Imaging: From Nano to Macro ; ISBI 2017 ; Proceedings Sequence Number: - Start / End Page: 401 - 405 Identifier: ISBN: 978-1-5090-1172-8