Facetto : Combining Unsupervised and Supervised Learning for Hierarchical Phenotype Analysis in Multi-Channel Image Data
Facetto is a scalable visual analytics application that is used to discover single-cell phenotypes in high-dimensional multi-channel microscopy images of human tumors and tissues. Such images represent the cutting edge of digital histology and promise to revolutionize how diseases such as cancer are...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 26(2020), 1 vom: 11. Jan., Seite 227-237
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| 1. Verfasser: |
Krueger, Robert
(VerfasserIn) |
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| Weitere Verfasser: |
Beyer, Johanna,
Jang, Won-Dong,
Kim, Nam Wook,
Sokolov, Artem,
Sorger, Peter K,
Pfister, Hanspeter |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2020
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't |
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