Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region:
Saved in:
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Erlangen ; Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg
2020
|
| Subjects: | |
| Online Access: | Volltext Volltext Volltext |
| Physical Description: | 1 Online-Ressource |
Staff View
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV047437864 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 210825s2020 gw |||| o||u| ||||||eng d | ||
| 015 | |a 21,O03 |2 dnb | ||
| 016 | 7 | |a 1227041438 |2 DE-101 | |
| 024 | 7 | |a urn:nbn:de:bvb:29-opus4-158094 |2 urn | |
| 035 | |a (OCoLC)1268193125 | ||
| 035 | |a (DE-599)DNB1227041438 | ||
| 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 2\p |a 610 |2 23sdnb | ||
| 084 | |8 1\p |a 616.994 |2 23ksdnb | ||
| 100 | 1 | |a Aubreville, Marc |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region |c Marc Aubreville, Christof A. Bertram, Christian Marzahl, Corinne Gurtner, Martina Dettwiler, Anja Schmidt, Florian Bartenschlager, Sophie Merz, Marco Fragoso, Olivia Kershaw, Robert Klopfleisch, Andreas Maier |
| 264 | 1 | |a Erlangen ; Nürnberg |b Friedrich-Alexander-Universität Erlangen-Nürnberg |c 2020 | |
| 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 Cancer imaging | ||
| 653 | |a Image processing | ||
| 653 | |a Machine learning | ||
| 653 | |a Skin cancer | ||
| 653 | |a Translational research | ||
| 653 | |a Tumour heterogeneity | ||
| 700 | 1 | |a Bertram, Christof A. |e Verfasser |4 aut | |
| 700 | 1 | |a Marzahl, Christian |e Verfasser |4 aut | |
| 700 | 1 | |a Gurtner, Corinne |e Verfasser |4 aut | |
| 700 | 1 | |a Dettwiler, Martina |e Verfasser |4 aut | |
| 700 | 1 | |a Schmidt, Anja |e Verfasser |4 aut | |
| 700 | 1 | |a Bartenschlager, Florian |e Verfasser |4 aut | |
| 700 | 1 | |a Merz, Sophie |e Verfasser |4 aut | |
| 700 | 1 | |a Fragoso, Marco |e Verfasser |4 aut | |
| 700 | 1 | |a Kershaw, Olivia |e Verfasser |4 aut | |
| 700 | 1 | |a Klopfleisch, Robert |e Verfasser |4 aut | |
| 700 | 1 | |a Maier, Andreas |e Verfasser |4 aut | |
| 787 | 0 | 8 | |i Sonderdruck aus |t Scientific Reports |g Vol. 10 (2020) |o 10.1038/s41598-020-73246-2 |
| 856 | 4 | 0 | |u https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-158094 |x Resolving-System |z kostenfrei |3 Volltext |
| 856 | 4 | 0 | |u https://d-nb.info/1227041438/34 |x Langzeitarchivierung Nationalbibliothek |z kostenfrei |3 Volltext |
| 856 | 4 | 0 | |q application/pdf |u https://open.fau.de/handle/openfau/15809 |x Verlag |z kostenfrei |3 Volltext |
| 912 | |a ebook | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032840099 | ||
| 883 | 0 | |8 1\p |a aepkn |c 0,99102 |d 20210213 |q DE-101 |u https://d-nb.info/provenance/plan#aepkn | |
| 883 | 0 | |8 2\p |a aepsg |c 0,99486 |d 20210213 |q DE-101 |u https://d-nb.info/provenance/plan#aepsg | |
| 883 | 1 | |8 3\p |a npi |d 20210212 |q DE-101 |u https://d-nb.info/provenance/plan#npi | |
Record in the Search Index
| _version_ | 1804182728162148352 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Aubreville, Marc Bertram, Christof A. Marzahl, Christian Gurtner, Corinne Dettwiler, Martina Schmidt, Anja Bartenschlager, Florian Merz, Sophie Fragoso, Marco Kershaw, Olivia Klopfleisch, Robert Maier, Andreas |
| author_facet | Aubreville, Marc Bertram, Christof A. Marzahl, Christian Gurtner, Corinne Dettwiler, Martina Schmidt, Anja Bartenschlager, Florian Merz, Sophie Fragoso, Marco Kershaw, Olivia Klopfleisch, Robert Maier, Andreas |
| author_role | aut aut aut aut aut aut aut aut aut aut aut aut |
| author_sort | Aubreville, Marc |
| author_variant | m a ma c a b ca cab c m cm c g cg m d md a s as f b fb s m sm m f mf o k ok r k rk a m am |
| building | Verbundindex |
| bvnumber | BV047437864 |
| collection | ebook |
| ctrlnum | (OCoLC)1268193125 (DE-599)DNB1227041438 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02755nmm a2200625zc 4500</leader><controlfield tag="001">BV047437864</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">210825s2020 gw |||| o||u| ||||||eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">21,O03</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">1227041438</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">urn:nbn:de:bvb:29-opus4-158094</subfield><subfield code="2">urn</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1268193125</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB1227041438</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">2\p</subfield><subfield code="a">610</subfield><subfield code="2">23sdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="8">1\p</subfield><subfield code="a">616.994</subfield><subfield code="2">23ksdnb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Aubreville, Marc</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region</subfield><subfield code="c">Marc Aubreville, Christof A. Bertram, Christian Marzahl, Corinne Gurtner, Martina Dettwiler, Anja Schmidt, Florian Bartenschlager, Sophie Merz, Marco Fragoso, Olivia Kershaw, Robert Klopfleisch, 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">2020</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">Cancer imaging</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Image processing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Skin cancer</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Translational research</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Tumour heterogeneity</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bertram, Christof A.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Marzahl, Christian</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gurtner, Corinne</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dettwiler, Martina</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Schmidt, Anja</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bartenschlager, Florian</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Merz, Sophie</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fragoso, Marco</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kershaw, Olivia</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Klopfleisch, Robert</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. 10 (2020)</subfield><subfield code="o">10.1038/s41598-020-73246-2</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-158094</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/1227041438/34</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/15809</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:BVB01-032840099</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">aepkn</subfield><subfield code="c">0,99102</subfield><subfield code="d">20210213</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#aepkn</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">aepsg</subfield><subfield code="c">0,99486</subfield><subfield code="d">20210213</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">20210212</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#npi</subfield></datafield></record></collection> |
| id | DE-604.BV047437864 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:00:15Z |
| indexdate | 2024-07-10T09:12:09Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032840099 |
| oclc_num | 1268193125 |
| open_access_boolean | 1 |
| owner | DE-29 |
| owner_facet | DE-29 |
| physical | 1 Online-Ressource |
| psigel | ebook |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Friedrich-Alexander-Universität Erlangen-Nürnberg |
| record_format | marc |
| spelling | Aubreville, Marc Verfasser aut Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region Marc Aubreville, Christof A. Bertram, Christian Marzahl, Corinne Gurtner, Martina Dettwiler, Anja Schmidt, Florian Bartenschlager, Sophie Merz, Marco Fragoso, Olivia Kershaw, Robert Klopfleisch, Andreas Maier Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2020 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager Cancer imaging Image processing Machine learning Skin cancer Translational research Tumour heterogeneity Bertram, Christof A. Verfasser aut Marzahl, Christian Verfasser aut Gurtner, Corinne Verfasser aut Dettwiler, Martina Verfasser aut Schmidt, Anja Verfasser aut Bartenschlager, Florian Verfasser aut Merz, Sophie Verfasser aut Fragoso, Marco Verfasser aut Kershaw, Olivia Verfasser aut Klopfleisch, Robert Verfasser aut Maier, Andreas Verfasser aut Sonderdruck aus Scientific Reports Vol. 10 (2020) 10.1038/s41598-020-73246-2 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-158094 Resolving-System kostenfrei Volltext https://d-nb.info/1227041438/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext application/pdf https://open.fau.de/handle/openfau/15809 Verlag kostenfrei Volltext 1\p aepkn 0,99102 20210213 DE-101 https://d-nb.info/provenance/plan#aepkn 2\p aepsg 0,99486 20210213 DE-101 https://d-nb.info/provenance/plan#aepsg 3\p npi 20210212 DE-101 https://d-nb.info/provenance/plan#npi |
| spellingShingle | Aubreville, Marc Bertram, Christof A. Marzahl, Christian Gurtner, Corinne Dettwiler, Martina Schmidt, Anja Bartenschlager, Florian Merz, Sophie Fragoso, Marco Kershaw, Olivia Klopfleisch, Robert Maier, Andreas Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region |
| title | Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region |
| title_auth | Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region |
| title_exact_search | Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region |
| title_exact_search_txtP | Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region |
| title_full | Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region Marc Aubreville, Christof A. Bertram, Christian Marzahl, Corinne Gurtner, Martina Dettwiler, Anja Schmidt, Florian Bartenschlager, Sophie Merz, Marco Fragoso, Olivia Kershaw, Robert Klopfleisch, Andreas Maier |
| title_fullStr | Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region Marc Aubreville, Christof A. Bertram, Christian Marzahl, Corinne Gurtner, Martina Dettwiler, Anja Schmidt, Florian Bartenschlager, Sophie Merz, Marco Fragoso, Olivia Kershaw, Robert Klopfleisch, Andreas Maier |
| title_full_unstemmed | Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region Marc Aubreville, Christof A. Bertram, Christian Marzahl, Corinne Gurtner, Martina Dettwiler, Anja Schmidt, Florian Bartenschlager, Sophie Merz, Marco Fragoso, Olivia Kershaw, Robert Klopfleisch, Andreas Maier |
| title_short | Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region |
| title_sort | deep learning algorithms out perform veterinary pathologists in detecting the mitotically most active tumor region |
| url | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-158094 https://d-nb.info/1227041438/34 https://open.fau.de/handle/openfau/15809 |
| work_keys_str_mv | AT aubrevillemarc deeplearningalgorithmsoutperformveterinarypathologistsindetectingthemitoticallymostactivetumorregion AT bertramchristofa deeplearningalgorithmsoutperformveterinarypathologistsindetectingthemitoticallymostactivetumorregion AT marzahlchristian deeplearningalgorithmsoutperformveterinarypathologistsindetectingthemitoticallymostactivetumorregion AT gurtnercorinne deeplearningalgorithmsoutperformveterinarypathologistsindetectingthemitoticallymostactivetumorregion AT dettwilermartina deeplearningalgorithmsoutperformveterinarypathologistsindetectingthemitoticallymostactivetumorregion AT schmidtanja deeplearningalgorithmsoutperformveterinarypathologistsindetectingthemitoticallymostactivetumorregion AT bartenschlagerflorian deeplearningalgorithmsoutperformveterinarypathologistsindetectingthemitoticallymostactivetumorregion AT merzsophie deeplearningalgorithmsoutperformveterinarypathologistsindetectingthemitoticallymostactivetumorregion AT fragosomarco deeplearningalgorithmsoutperformveterinarypathologistsindetectingthemitoticallymostactivetumorregion AT kershawolivia deeplearningalgorithmsoutperformveterinarypathologistsindetectingthemitoticallymostactivetumorregion AT klopfleischrobert deeplearningalgorithmsoutperformveterinarypathologistsindetectingthemitoticallymostactivetumorregion AT maierandreas deeplearningalgorithmsoutperformveterinarypathologistsindetectingthemitoticallymostactivetumorregion |