Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images:
Gespeichert in:
| Hauptverfasser: | , , , , , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Erlangen ; Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg
2022
|
| Schlagworte: | |
| Online-Zugang: | Volltext Volltext Volltext |
| Beschreibung: | 1 Online-Ressource |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV048320542 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 220709s2022 gw |||| o||u| ||||||eng d | ||
| 015 | |a 22,O06 |2 dnb | ||
| 016 | 7 | |a 1258525364 |2 DE-101 | |
| 024 | 7 | |a 10.1038/s41598-021-82370-6 |2 doi | |
| 024 | 7 | |a urn:nbn:de:bvb:29-opus4-193801 |2 urn | |
| 035 | |a (OCoLC)1335410290 | ||
| 035 | |a (DE-599)DNB1258525364 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |8 3\p |a eng | |
| 044 | |a gw |c XA-DE-BY | ||
| 049 | |a DE-29 | ||
| 084 | |8 1\p |a 616.075 |2 23ksdnb | ||
| 084 | |8 2\p |a 610 |2 23sdnb | ||
| 100 | 1 | |a Zhong, Xia |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images |c Xia Zhong, Mario Amrehn, Nishant Ravikumar, Shuqing Chen, Norbert Strobel, Annette Birkhold, Markus Kowarschik, Rebecca Fahrig, Andreas Maier |
| 264 | 1 | |a Erlangen ; Nürnberg |b Friedrich-Alexander-Universität Erlangen-Nürnberg |c 2022 | |
| 300 | |a 1 Online-Ressource | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 583 | 1 | |a Archivierung/Langzeitarchivierung gewährleistet |5 DE-101 |2 pdager | |
| 653 | |a Computer science | ||
| 653 | |a Medical imaging | ||
| 700 | 1 | |a Amrehn, Mario |e Verfasser |4 aut | |
| 700 | 1 | |a Ravikumar, Nishant |e Verfasser |4 aut | |
| 700 | 1 | |a Chen, Shuqing |e Verfasser |4 aut | |
| 700 | 1 | |a Strobel, Norbert |e Verfasser |4 aut | |
| 700 | 1 | |a Birkhold, Annette |e Verfasser |4 aut | |
| 700 | 1 | |a Kowarschik, Markus |e Verfasser |4 aut | |
| 700 | 1 | |a Fahrig, Rebecca |e Verfasser |4 aut | |
| 700 | 1 | |a Maier, Andreas |e Verfasser |4 aut | |
| 787 | 0 | 8 | |i Sonderdruck aus |t Scientific Reports |g Vol. 11 (2021), 3311 |o 10.1038/s41598-021-82370-6 |
| 856 | 4 | 0 | |u https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-193801 |x Resolving-System |z kostenfrei |3 Volltext |
| 856 | 4 | 0 | |u https://d-nb.info/1258525364/34 |x Langzeitarchivierung Nationalbibliothek |z kostenfrei |3 Volltext |
| 856 | 4 | 0 | |q application/pdf |u https://open.fau.de/handle/openfau/19380 |x Verlag |z kostenfrei |3 Volltext |
| 912 | |a ebook | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-033699896 | ||
| 883 | 0 | |8 1\p |a emakn |c 0,16845 |d 20220528 |q DE-101 |u https://d-nb.info/provenance/plan#emakn | |
| 883 | 0 | |8 2\p |a aepsg |c 0,98714 |d 20220528 |q DE-101 |u https://d-nb.info/provenance/plan#aepsg | |
| 883 | 1 | |8 3\p |a npi |d 20220527 |q DE-101 |u https://d-nb.info/provenance/plan#npi | |
Datensatz im Suchindex
| _version_ | 1804184177524867072 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Zhong, Xia Amrehn, Mario Ravikumar, Nishant Chen, Shuqing Strobel, Norbert Birkhold, Annette Kowarschik, Markus Fahrig, Rebecca Maier, Andreas |
| author_facet | Zhong, Xia Amrehn, Mario Ravikumar, Nishant Chen, Shuqing Strobel, Norbert Birkhold, Annette Kowarschik, Markus Fahrig, Rebecca Maier, Andreas |
| author_role | aut aut aut aut aut aut aut aut aut |
| author_sort | Zhong, Xia |
| author_variant | x z xz m a ma n r nr s c sc n s ns a b ab m k mk r f rf a m am |
| building | Verbundindex |
| bvnumber | BV048320542 |
| collection | ebook |
| ctrlnum | (OCoLC)1335410290 (DE-599)DNB1258525364 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02424nmm a2200553zc 4500</leader><controlfield tag="001">BV048320542</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">220709s2022 gw |||| o||u| ||||||eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">22,O06</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">1258525364</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1038/s41598-021-82370-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">urn:nbn:de:bvb:29-opus4-193801</subfield><subfield code="2">urn</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1335410290</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB1258525364</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="8">3\p</subfield><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">XA-DE-BY</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-29</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="8">1\p</subfield><subfield code="a">616.075</subfield><subfield code="2">23ksdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="8">2\p</subfield><subfield code="a">610</subfield><subfield code="2">23sdnb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhong, Xia</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images</subfield><subfield code="c">Xia Zhong, Mario Amrehn, Nishant Ravikumar, Shuqing Chen, Norbert Strobel, Annette Birkhold, Markus Kowarschik, Rebecca Fahrig, Andreas Maier</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Erlangen ; Nürnberg</subfield><subfield code="b">Friedrich-Alexander-Universität Erlangen-Nürnberg</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="583" ind1="1" ind2=" "><subfield code="a">Archivierung/Langzeitarchivierung gewährleistet</subfield><subfield code="5">DE-101</subfield><subfield code="2">pdager</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Computer science</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Medical imaging</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Amrehn, Mario</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ravikumar, Nishant</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chen, Shuqing</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Strobel, Norbert</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Birkhold, Annette</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kowarschik, Markus</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fahrig, Rebecca</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Maier, Andreas</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="787" ind1="0" ind2="8"><subfield code="i">Sonderdruck aus</subfield><subfield code="t">Scientific Reports</subfield><subfield code="g">Vol. 11 (2021), 3311</subfield><subfield code="o">10.1038/s41598-021-82370-6</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-193801</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://d-nb.info/1258525364/34</subfield><subfield code="x">Langzeitarchivierung Nationalbibliothek</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="q">application/pdf</subfield><subfield code="u">https://open.fau.de/handle/openfau/19380</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ebook</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033699896</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">emakn</subfield><subfield code="c">0,16845</subfield><subfield code="d">20220528</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#emakn</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">aepsg</subfield><subfield code="c">0,98714</subfield><subfield code="d">20220528</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#aepsg</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">3\p</subfield><subfield code="a">npi</subfield><subfield code="d">20220527</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#npi</subfield></datafield></record></collection> |
| id | DE-604.BV048320542 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T20:11:55Z |
| indexdate | 2024-07-10T09:35:12Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033699896 |
| oclc_num | 1335410290 |
| open_access_boolean | 1 |
| owner | DE-29 |
| owner_facet | DE-29 |
| physical | 1 Online-Ressource |
| psigel | ebook |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Friedrich-Alexander-Universität Erlangen-Nürnberg |
| record_format | marc |
| spelling | Zhong, Xia Verfasser aut Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images Xia Zhong, Mario Amrehn, Nishant Ravikumar, Shuqing Chen, Norbert Strobel, Annette Birkhold, Markus Kowarschik, Rebecca Fahrig, Andreas Maier Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2022 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager Computer science Medical imaging Amrehn, Mario Verfasser aut Ravikumar, Nishant Verfasser aut Chen, Shuqing Verfasser aut Strobel, Norbert Verfasser aut Birkhold, Annette Verfasser aut Kowarschik, Markus Verfasser aut Fahrig, Rebecca Verfasser aut Maier, Andreas Verfasser aut Sonderdruck aus Scientific Reports Vol. 11 (2021), 3311 10.1038/s41598-021-82370-6 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-193801 Resolving-System kostenfrei Volltext https://d-nb.info/1258525364/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext application/pdf https://open.fau.de/handle/openfau/19380 Verlag kostenfrei Volltext 1\p emakn 0,16845 20220528 DE-101 https://d-nb.info/provenance/plan#emakn 2\p aepsg 0,98714 20220528 DE-101 https://d-nb.info/provenance/plan#aepsg 3\p npi 20220527 DE-101 https://d-nb.info/provenance/plan#npi |
| spellingShingle | Zhong, Xia Amrehn, Mario Ravikumar, Nishant Chen, Shuqing Strobel, Norbert Birkhold, Annette Kowarschik, Markus Fahrig, Rebecca Maier, Andreas Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images |
| title | Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images |
| title_auth | Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images |
| title_exact_search | Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images |
| title_exact_search_txtP | Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images |
| title_full | Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images Xia Zhong, Mario Amrehn, Nishant Ravikumar, Shuqing Chen, Norbert Strobel, Annette Birkhold, Markus Kowarschik, Rebecca Fahrig, Andreas Maier |
| title_fullStr | Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images Xia Zhong, Mario Amrehn, Nishant Ravikumar, Shuqing Chen, Norbert Strobel, Annette Birkhold, Markus Kowarschik, Rebecca Fahrig, Andreas Maier |
| title_full_unstemmed | Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images Xia Zhong, Mario Amrehn, Nishant Ravikumar, Shuqing Chen, Norbert Strobel, Annette Birkhold, Markus Kowarschik, Rebecca Fahrig, Andreas Maier |
| title_short | Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images |
| title_sort | deep action learning enables robust 3d segmentation of body organs in various ct and mri images |
| url | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-193801 https://d-nb.info/1258525364/34 https://open.fau.de/handle/openfau/19380 |
| work_keys_str_mv | AT zhongxia deepactionlearningenablesrobust3dsegmentationofbodyorgansinvariousctandmriimages AT amrehnmario deepactionlearningenablesrobust3dsegmentationofbodyorgansinvariousctandmriimages AT ravikumarnishant deepactionlearningenablesrobust3dsegmentationofbodyorgansinvariousctandmriimages AT chenshuqing deepactionlearningenablesrobust3dsegmentationofbodyorgansinvariousctandmriimages AT strobelnorbert deepactionlearningenablesrobust3dsegmentationofbodyorgansinvariousctandmriimages AT birkholdannette deepactionlearningenablesrobust3dsegmentationofbodyorgansinvariousctandmriimages AT kowarschikmarkus deepactionlearningenablesrobust3dsegmentationofbodyorgansinvariousctandmriimages AT fahrigrebecca deepactionlearningenablesrobust3dsegmentationofbodyorgansinvariousctandmriimages AT maierandreas deepactionlearningenablesrobust3dsegmentationofbodyorgansinvariousctandmriimages |