Adaptive Spot Detection With Optimal Scale Selection in Fluorescence Microscopy Images
Accurately detecting subcellular particles in fluorescence microscopy is of primary interest for further quantitative analysis such as counting, tracking, or classification. Our primary goal is to segment vesicles likely to share nearly the same size in fluorescence microscopy images. Our method ter...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 24(2015), 11 vom: 01. Nov., Seite 4512-27
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| 1. Verfasser: |
Basset, Antoine
(VerfasserIn) |
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| Weitere Verfasser: |
Boulanger, Jérôme,
Salamero, Jean,
Bouthemy, Patrick,
Kervrann, Charles |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2015
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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