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  Automatic Fusion of Segmentation and Tracking Labels.

Akbas, C. E., Ulman, V., Maska, M., Jug, F., & Kozubek, M. (2019). Automatic Fusion of Segmentation and Tracking Labels. In L. Leal-Taixé (Ed.), Computer Vision – ECCV 2018 Workshops: Munich, Germany, September 8-14, 2018, Proceedings, Part VI (pp. 446-454). Cham: Springer International Publishing.

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 Creators:
Akbas, Cem Emre, Author
Ulman, Vladimir1, Author           
Maska, Martin, Author
Jug, Florian1, Author           
Kozubek, Michal, Author
Affiliations:
1Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society, ou_2340692              

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 Abstract: Labeled training images of high quality are required for developing well-working analysis pipelines. This is, of course, also true for biological image data, where such labels are usually hard to get. We distinguish human labels (gold corpora) and labels generated by computer algorithms (silver corpora). A naturally arising problem is to merge multiple corpora into larger bodies of labeled training datasets. While fusion of labels in static images is already an established field, dealing with labels in time-lapse image data remains to be explored. Obtaining a gold corpus for segmentation is usually very time-consuming and hence expensive. For this reason, gold corpora for object tracking often use object detection markers instead of dense segmentations. If dense segmentations of tracked objects are desired later on, an automatic merge of the detection-based gold corpus with (silver) corpora of the individual time points for segmentation will be necessary. Here we present such an automatic merging system and demonstrate its utility on corpora from the Cell Tracking Challenge. We additionally release all label fusion algorithms as freely available and open plugins for Fiji (https://github.com/xulman/CTC-FijiPlugins).

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 Dates: 2019-01-23
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: doi:10.1007/978-3-030-11024-6_34
Other: cbg-7320
 Degree: -

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Title: Computer Vision – ECCV 2018 Workshops
Place of Event: Munich
Start-/End Date: 2018-09-08 - 2018-09-14

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Title: Computer Vision – ECCV 2018 Workshops : Munich, Germany, September 8-14, 2018, Proceedings, Part VI
Source Genre: Proceedings
 Creator(s):
Leal-Taixé, Laura, Editor
Affiliations:
-
Publ. Info: Cham : Springer International Publishing
Pages: - Volume / Issue: Computer Vision – ECCV 2018 Workshops : Munich, Germany, September 8-14, 2018, Proceedings, Part VI Sequence Number: - Start / End Page: 446 - 454 Identifier: ISBN: 978-3-030-11024-6