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- Kecheril Sadanandan, SajithUppsala universitet,Avdelningen för visuell information och interaktion,Bildanalys och människa-datorinteraktion,Science for Life Laboratory, SciLifeLab (author)
Automated training of deep convolutional neural networks for cell segmentation
- Article/chapterEnglish2017
Publisher, publication year, extent ...
- 2017-08-10
- Springer Science and Business Media LLC,2017
- electronicrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:uu-329301
- https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-329301URI
- https://doi.org/10.1038/s41598-017-07599-6DOI
- http://kipublications.ki.se/Default.aspx?queryparsed=id:136396276URI
Supplementary language notes
- Language:English
- Summary in:English
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- SwePubSwePub
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Notes
- Deep Convolutional Neural Networks (DCNN) have recently emerged as superior for many image segmentation tasks. The DCNN performance is however heavily dependent on the availability of large amounts of problem-specific training samples. Here we show that DCNNs trained on ground truth created automatically using fluorescently labeled cells, perform similar to manual annotations.
Subject headings and genre
- TEKNIK OCH TEKNOLOGIER Medicinteknik Medicinsk bildbehandling hsv//swe
- ENGINEERING AND TECHNOLOGY Medical Engineering Medical Image Processing hsv//eng
- Datoriserad bildbehandling
- Computerized Image Processing
Added entries (persons, corporate bodies, meetings, titles ...)
- Ranefall, PetterUppsala universitet,Avdelningen för visuell information och interaktion,Bildanalys och människa-datorinteraktion,Science for Life Laboratory, SciLifeLab(Swepub:uu)peran517 (author)
- Le Guyader, SylvieKarolinska Institutet,Center for Biosciences, Department of Biosciences and Nutrition, Novum, Karolinska Institutet, Huddinge, Sweden (author)
- Wählby, Carolina,1974-Uppsala universitet,Avdelningen för visuell information och interaktion,Science for Life Laboratory, SciLifeLab,Bildanalys och människa-datorinteraktion(Swepub:uu)cli05194 (author)
- Uppsala universitetAvdelningen för visuell information och interaktion (creator_code:org_t)
Related titles
- In:Scientific Reports: Springer Science and Business Media LLC72045-2322
Internet link
- https://doi.org/10.1038/s41598-017-07599-6Fulltext
- https://uu.diva-portal.org/smash/get/diva2:1140494/FULLTEXT01.pdffulltext:print
- https://www.nature.com/articles/s41598-017-07599-6.pdf
- https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-329301
- https://doi.org/10.1038/s41598-017-07599-6
- http://kipublications.ki.se/Default.aspx?queryparsed=id:136396276
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