A Coarse-to-Fine Segmentation Methodology Based on Deep Networks for Automated Analysis of Cryptosporidium Parasite from Fluorescence Microscopic Images (Unknown)
- New search for: Yang, Ziheng
- New search for: Benhabiles, Halim
- New search for: Windal, Feryal
- New search for: Follet, Jérôme
- New search for: Leniere, Anne-Charlotte
- New search for: Collard, Dominique
- New search for: Yang, Ziheng
- New search for: Benhabiles, Halim
- New search for: Windal, Feryal
- New search for: Follet, Jérôme
- New search for: Leniere, Anne-Charlotte
- New search for: Collard, Dominique
In:
1st Medical optical imaging and virtual microscopy image analysis workshop, MOVI
;
156-166
;
2022
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ISSN:
- Conference paper / Print
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Title:A Coarse-to-Fine Segmentation Methodology Based on Deep Networks for Automated Analysis of Cryptosporidium Parasite from Fluorescence Microscopic Images
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Contributors:Yang, Ziheng ( author ) / Benhabiles, Halim ( author ) / Windal, Feryal ( author ) / Follet, Jérôme ( author ) / Leniere, Anne-Charlotte ( author ) / Collard, Dominique ( author )
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Conference:1st Medical optical imaging and virtual microscopy image analysis workshop, MOVI
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Published in:Lecture notes in computer science ; 13578 ; 156-166
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Publisher:
- New search for: Springer
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Publication date:2022-01-01
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Size:11 pages
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ISSN:
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Type of media:Conference paper
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Type of material:Print
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Language:Unknown
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Source:
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