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  EVICAN-a balanced dataset for algorithm development in cell and nucleus segmentation

Schwendy, M. D., Unger, R. E., & Parekh, S. H. (2020). EVICAN-a balanced dataset for algorithm development in cell and nucleus segmentation. Bioinformatics, 36(12), 3863-3870. doi:10.1093/bioinformatics/btaa225.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0006-AFFA-C Version Permalink: http://hdl.handle.net/21.11116/0000-0006-CCD0-9
Genre: Journal Article

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btaa225.pdf (Publisher version), 471KB
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2020
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 Creators:
Schwendy, Mischa D.1, Author              
Unger, Ronald E2, Author
Parekh, Sapun H.1, 3, Author              
Affiliations:
1Dept. Bonn: Molecular Spectroscopy, MPI for Polymer Research, Max Planck Society, ou_1800285              
2Institute of Pathology, Mainz, Germany, ou_persistent22              
3Department of Biomedical Engineering, University of Texas at Austin, Austin, USA, ou_persistent22              

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Language(s): eng - English
 Dates: 2020-04-012020-06-15
 Publication Status: Published in print
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 Rev. Type: -
 Identifiers: DOI: 10.1093/bioinformatics/btaa225
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Title: Bioinformatics
Source Genre: Journal
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Publ. Info: Oxford : Oxford University Press
Pages: - Volume / Issue: 36 (12) Sequence Number: - Start / End Page: 3863 - 3870 Identifier: ISSN: 1367-4803
CoNE: https://pure.mpg.de/cone/journals/resource/954926969991