Leukocyte classification based on spatial and spectral features of microscopic hyperspectral images
• A microscopic hyperspectral imaging system is used to identify blood cells. • SMACC and ISODATA algorithms are combined to segment leukocytes. • Both spectral and spatial information are used for leukocytes classification.
Gespeichert in:
| Autor*in: |
Duan, Yifan [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Umfang: |
9 |
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| Übergeordnetes Werk: |
Enthalten in: Impact of the graft’ structure on the behavior of PMMS-based brushes. High pressure studies - Zimny, Sara ELSEVIER, 2023, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:112 ; year:2019 ; day:15 ; month:04 ; pages:530-538 ; extent:9 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.optlastec.2018.11.057 |
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| 520 | |a • A microscopic hyperspectral imaging system is used to identify blood cells. • SMACC and ISODATA algorithms are combined to segment leukocytes. • Both spectral and spatial information are used for leukocytes classification. | ||
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Leukocyte classification based on spatial and spectral features of microscopic hyperspectral images |
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• A microscopic hyperspectral imaging system is used to identify blood cells. • SMACC and ISODATA algorithms are combined to segment leukocytes. • Both spectral and spatial information are used for leukocytes classification. |
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