Gespeichert in:
| Titel: | Semiautomatic segmentation of the kidney in magnetic resonance images using unimodal thresholding |
|---|---|
| Von: |
Martin Sandmair, Matthias Hammon, Hannes Seuss, Ragnar Theis, Michael Uder, Rolf Janka
|
| Person: |
Sandmair, Martin
Verfasser aut Hammon, Matthias Seuss, Hannes Theis, Ragnar Uder, Michael Janka, Rolf |
| Hauptverfassende: | , , , , , |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Erlangen
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
2016
|
| Schlagworte: | |
| Online-Zugang: | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-80410 http://d-nb.info/1122828063/34 https://open.fau.de/handle/openfau/8041 |
| Beschreibung: | Aus: BMC Research Notes 9 (2016). <http://bmcresnotes.biomedcentral.com/articles/10.1186/s13104-016-2292-z> |
| Beschreibung: | Online-Ressource |
| Format: | Langzeitarchivierung gewährleistet, LZA |
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| 245 | 1 | 0 | |a Semiautomatic segmentation of the kidney in magnetic resonance images using unimodal thresholding |c Martin Sandmair, Matthias Hammon, Hannes Seuss, Ragnar Theis, Michael Uder, Rolf Janka |
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| 653 | |a Kidney volume | ||
| 653 | |a Magnetic resonance | ||
| 653 | |a Unimodal thresholding | ||
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Datensatz im Suchindex
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| author | Sandmair, Martin Hammon, Matthias Seuss, Hannes Theis, Ragnar Uder, Michael Janka, Rolf |
| author_facet | Sandmair, Martin Hammon, Matthias Seuss, Hannes Theis, Ragnar Uder, Michael Janka, Rolf |
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| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 610 - Medicine and health |
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| dewey-search | 610 |
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| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| format | Electronic eBook |
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| spelling | Sandmair, Martin Verfasser aut Semiautomatic segmentation of the kidney in magnetic resonance images using unimodal thresholding Martin Sandmair, Matthias Hammon, Hannes Seuss, Ragnar Theis, Michael Uder, Rolf Janka Erlangen Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) 2016 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Aus: BMC Research Notes 9 (2016). <http://bmcresnotes.biomedcentral.com/articles/10.1186/s13104-016-2292-z> Langzeitarchivierung gewährleistet, LZA Kidney volume Magnetic resonance Unimodal thresholding Intensity histogram Probability distribution 1\p (DE-588)4113937-9 Hochschulschrift gnd-content Hammon, Matthias Verfasser aut Seuss, Hannes Verfasser aut Theis, Ragnar Verfasser aut Uder, Michael Verfasser aut Janka, Rolf Verfasser aut https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-80410 Resolving-System kostenfrei Volltext http://d-nb.info/1122828063/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext https://open.fau.de/handle/openfau/8041 Verlag kostenfrei Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Sandmair, Martin Hammon, Matthias Seuss, Hannes Theis, Ragnar Uder, Michael Janka, Rolf Semiautomatic segmentation of the kidney in magnetic resonance images using unimodal thresholding |
| subject_GND | (DE-588)4113937-9 |
| title | Semiautomatic segmentation of the kidney in magnetic resonance images using unimodal thresholding |
| title_auth | Semiautomatic segmentation of the kidney in magnetic resonance images using unimodal thresholding |
| title_exact_search | Semiautomatic segmentation of the kidney in magnetic resonance images using unimodal thresholding |
| title_full | Semiautomatic segmentation of the kidney in magnetic resonance images using unimodal thresholding Martin Sandmair, Matthias Hammon, Hannes Seuss, Ragnar Theis, Michael Uder, Rolf Janka |
| title_fullStr | Semiautomatic segmentation of the kidney in magnetic resonance images using unimodal thresholding Martin Sandmair, Matthias Hammon, Hannes Seuss, Ragnar Theis, Michael Uder, Rolf Janka |
| title_full_unstemmed | Semiautomatic segmentation of the kidney in magnetic resonance images using unimodal thresholding Martin Sandmair, Matthias Hammon, Hannes Seuss, Ragnar Theis, Michael Uder, Rolf Janka |
| title_short | Semiautomatic segmentation of the kidney in magnetic resonance images using unimodal thresholding |
| title_sort | semiautomatic segmentation of the kidney in magnetic resonance images using unimodal thresholding |
| topic_facet | Hochschulschrift |
| url | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-80410 http://d-nb.info/1122828063/34 https://open.fau.de/handle/openfau/8041 |
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