Verfügbarkeit: Same same but different

Same same but different: a Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations

Gespeichert in:

Bibliographische Detailangaben
1. Verfasser:	Kubach, Joshua (VerfasserIn)
Format:	Abschlussarbeit Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2022
Schlagworte:	Histopathologie Bildgebendes Verfahren Bildverarbeitung Deep learning Convolutional Neural Network Maschinelles Lernen Merkmalsextraktion Gehirn Automatische Klassifikation Hirnrinde brain, convolutional neural network, cortical malformations, deep learning, digital pathology, epilepsy Hochschulschrift
Online-Zugang:	Volltext Volltext Volltext
Beschreibung:	1 Online-Ressource Illustrationen, Diagramme

Internformat

MARC


LEADER	00000nmm a2200000zc 4500
001	BV048518973
003	DE-604
005	20230929
006	a m\|\|\| 00\|\|\|
007	cr\|uuu---uuuuu
008	221018s2022 gw \|\|\|\| o\|\|u\| \|\|\|\|\|\|eng d
015			\|a 22,O10 \|2 dnb
016	7		\|a 1268713104 \|2 DE-101
024	7		\|a urn:nbn:de:bvb:29-opus4-201303 \|2 urn
035			\|a (OCoLC)1349535558
035			\|a (DE-599)DNB1268713104
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-384 \|a DE-473 \|a DE-703 \|a DE-1051 \|a DE-824 \|a DE-29 \|a DE-12 \|a DE-91 \|a DE-19 \|a DE-1049 \|a DE-92 \|a DE-739 \|a DE-898 \|a DE-355 \|a DE-706 \|a DE-20 \|a DE-1102 \|a DE-860 \|a DE-2174
084			\|8 1\p \|a 616.075 \|2 23ksdnb
084			\|8 2\p \|a 610 \|2 23sdnb
100	1		\|a Kubach, Joshua \|0 (DE-588)1270518933 \|4 aut
245	1	0	\|a Same same but different \|b a Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations \|c vorgelegt von Joshua Kubach
264		1	\|a Erlangen ; Nürnberg \|b Friedrich-Alexander-Universität Erlangen-Nürnberg \|c 2022
300			\|a 1 Online-Ressource \|b Illustrationen, Diagramme
336			\|b txt \|2 rdacontent
337			\|b c \|2 rdamedia
338			\|b cr \|2 rdacarrier
502			\|b Dissertation \|c Friedrich-Alexander-Universität Erlangen-Nürnberg \|d 2022
583	1		\|a Archivierung/Langzeitarchivierung gewährleistet \|5 DE-101 \|2 pdager
650	0	7	\|a Histopathologie \|0 (DE-588)4072532-7 \|2 gnd \|9 rswk-swf
650	0	7	\|a Bildgebendes Verfahren \|0 (DE-588)4006617-4 \|2 gnd \|9 rswk-swf
650	0	7	\|a Bildverarbeitung \|0 (DE-588)4006684-8 \|2 gnd \|9 rswk-swf
650	0	7	\|a Deep learning \|0 (DE-588)1135597375 \|2 gnd \|9 rswk-swf
650	0	7	\|a Convolutional Neural Network \|0 (DE-588)1209706350 \|2 gnd \|9 rswk-swf
650	0	7	\|a Maschinelles Lernen \|0 (DE-588)4193754-5 \|2 gnd \|9 rswk-swf
650	0	7	\|a Merkmalsextraktion \|0 (DE-588)4314440-8 \|2 gnd \|9 rswk-swf
650	0	7	\|a Gehirn \|0 (DE-588)4019752-9 \|2 gnd \|9 rswk-swf
650	0	7	\|a Automatische Klassifikation \|0 (DE-588)4120957-6 \|2 gnd \|9 rswk-swf
650	0	7	\|a Hirnrinde \|0 (DE-588)4129358-7 \|2 gnd \|9 rswk-swf
653			\|a brain, convolutional neural network, cortical malformations, deep learning, digital pathology, epilepsy
655		7	\|0 (DE-588)4113937-9 \|a Hochschulschrift \|2 gnd-content
689	0	0	\|a Gehirn \|0 (DE-588)4019752-9 \|D s
689	0	1	\|a Convolutional Neural Network \|0 (DE-588)1209706350 \|D s
689	0	2	\|a Hirnrinde \|0 (DE-588)4129358-7 \|D s
689	0	3	\|a Histopathologie \|0 (DE-588)4072532-7 \|D s
689	0	4	\|a Bildverarbeitung \|0 (DE-588)4006684-8 \|D s
689	0	5	\|a Maschinelles Lernen \|0 (DE-588)4193754-5 \|D s
689	0	6	\|a Merkmalsextraktion \|0 (DE-588)4314440-8 \|D s
689	0	7	\|a Bildgebendes Verfahren \|0 (DE-588)4006617-4 \|D s
689	0	8	\|a Deep learning \|0 (DE-588)1135597375 \|D s
689	0	9	\|a Automatische Klassifikation \|0 (DE-588)4120957-6 \|D s
689	0		\|5 DE-604
856	4	0	\|u https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-201303 \|x Resolving-System \|z kostenfrei \|3 Volltext
856	4	0	\|u https://d-nb.info/1268713104/34 \|x Langzeitarchivierung Nationalbibliothek \|z kostenfrei \|3 Volltext
856	4	0	\|q application/pdf \|u https://open.fau.de/handle/openfau/20130 \|x Verlag \|z kostenfrei \|3 Volltext
912			\|a ebook
999			\|a oai:aleph.bib-bvb.de:BVB01-033895896
883	0		\|8 1\p \|a emakn \|c 0,10914 \|d 20220924 \|q DE-101 \|u https://d-nb.info/provenance/plan#emakn
883	0		\|8 2\p \|a emasg \|c 0,50171 \|d 20220924 \|q DE-101 \|u https://d-nb.info/provenance/plan#emasg
883	1		\|8 3\p \|a npi \|d 20220923 \|q DE-101 \|u https://d-nb.info/provenance/plan#npi

Datensatz im Suchindex

_version_	1804184503769366528
adam_txt
any_adam_object
any_adam_object_boolean
author	Kubach, Joshua
author_GND	(DE-588)1270518933
author_facet	Kubach, Joshua
author_role	aut
author_sort	Kubach, Joshua
author_variant	j k jk
building	Verbundindex
bvnumber	BV048518973
collection	ebook
ctrlnum	(OCoLC)1349535558 (DE-599)DNB1268713104
format	Thesis Electronic eBook
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03526nmm a2200709zc 4500</leader><controlfield tag="001">BV048518973</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20230929 </controlfield><controlfield tag="006">a m\|\|\| 00\|\|\| </controlfield><controlfield tag="007">cr\|uuu---uuuuu</controlfield><controlfield tag="008">221018s2022 gw \|\|\|\| o\|\|u\| \|\|\|\|\|\|eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">22,O10</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">1268713104</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">urn:nbn:de:bvb:29-opus4-201303</subfield><subfield code="2">urn</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1349535558</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB1268713104</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-384</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-1051</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-12</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-1049</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-1102</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-2174</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">Kubach, Joshua</subfield><subfield code="0">(DE-588)1270518933</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Same same but different</subfield><subfield code="b">a Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations</subfield><subfield code="c">vorgelegt von Joshua Kubach</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><subfield code="b">Illustrationen, Diagramme</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="502" ind1=" " ind2=" "><subfield code="b">Dissertation</subfield><subfield code="c">Friedrich-Alexander-Universität Erlangen-Nürnberg</subfield><subfield code="d">2022</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="650" ind1="0" ind2="7"><subfield code="a">Histopathologie</subfield><subfield code="0">(DE-588)4072532-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bildgebendes Verfahren</subfield><subfield code="0">(DE-588)4006617-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bildverarbeitung</subfield><subfield code="0">(DE-588)4006684-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Deep learning</subfield><subfield code="0">(DE-588)1135597375</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Convolutional Neural Network</subfield><subfield code="0">(DE-588)1209706350</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Merkmalsextraktion</subfield><subfield code="0">(DE-588)4314440-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Gehirn</subfield><subfield code="0">(DE-588)4019752-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Automatische Klassifikation</subfield><subfield code="0">(DE-588)4120957-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Hirnrinde</subfield><subfield code="0">(DE-588)4129358-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">brain, convolutional neural network, cortical malformations, deep learning, digital pathology, epilepsy</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Gehirn</subfield><subfield code="0">(DE-588)4019752-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Convolutional Neural Network</subfield><subfield code="0">(DE-588)1209706350</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Hirnrinde</subfield><subfield code="0">(DE-588)4129358-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Histopathologie</subfield><subfield code="0">(DE-588)4072532-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Bildverarbeitung</subfield><subfield code="0">(DE-588)4006684-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="5"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="6"><subfield code="a">Merkmalsextraktion</subfield><subfield code="0">(DE-588)4314440-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="7"><subfield code="a">Bildgebendes Verfahren</subfield><subfield code="0">(DE-588)4006617-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="8"><subfield code="a">Deep learning</subfield><subfield code="0">(DE-588)1135597375</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="9"><subfield code="a">Automatische Klassifikation</subfield><subfield code="0">(DE-588)4120957-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-201303</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/1268713104/34</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/20130</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:BVB01-033895896</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">emakn</subfield><subfield code="c">0,10914</subfield><subfield code="d">20220924</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">emasg</subfield><subfield code="c">0,50171</subfield><subfield code="d">20220924</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#emasg</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">3\p</subfield><subfield code="a">npi</subfield><subfield code="d">20220923</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#npi</subfield></datafield></record></collection>
genre	(DE-588)4113937-9 Hochschulschrift gnd-content
genre_facet	Hochschulschrift
id	DE-604.BV048518973
illustrated	Not Illustrated
index_date	2024-07-03T20:49:21Z
indexdate	2024-07-10T09:40:23Z
institution	BVB
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-033895896
oclc_num	1349535558
open_access_boolean	1
owner	DE-384 DE-473 DE-BY-UBG DE-703 DE-1051 DE-824 DE-29 DE-12 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-1049 DE-92 DE-739 DE-898 DE-BY-UBR DE-355 DE-BY-UBR DE-706 DE-20 DE-1102 DE-860 DE-2174
owner_facet	DE-384 DE-473 DE-BY-UBG DE-703 DE-1051 DE-824 DE-29 DE-12 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-1049 DE-92 DE-739 DE-898 DE-BY-UBR DE-355 DE-BY-UBR DE-706 DE-20 DE-1102 DE-860 DE-2174
physical	1 Online-Ressource Illustrationen, Diagramme
psigel	ebook
publishDate	2022
publishDateSearch	2022
publishDateSort	2022
publisher	Friedrich-Alexander-Universität Erlangen-Nürnberg
record_format	marc
spelling	Kubach, Joshua (DE-588)1270518933 aut Same same but different a Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations vorgelegt von Joshua Kubach Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2022 1 Online-Ressource Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Dissertation Friedrich-Alexander-Universität Erlangen-Nürnberg 2022 Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager Histopathologie (DE-588)4072532-7 gnd rswk-swf Bildgebendes Verfahren (DE-588)4006617-4 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Deep learning (DE-588)1135597375 gnd rswk-swf Convolutional Neural Network (DE-588)1209706350 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Merkmalsextraktion (DE-588)4314440-8 gnd rswk-swf Gehirn (DE-588)4019752-9 gnd rswk-swf Automatische Klassifikation (DE-588)4120957-6 gnd rswk-swf Hirnrinde (DE-588)4129358-7 gnd rswk-swf brain, convolutional neural network, cortical malformations, deep learning, digital pathology, epilepsy (DE-588)4113937-9 Hochschulschrift gnd-content Gehirn (DE-588)4019752-9 s Convolutional Neural Network (DE-588)1209706350 s Hirnrinde (DE-588)4129358-7 s Histopathologie (DE-588)4072532-7 s Bildverarbeitung (DE-588)4006684-8 s Maschinelles Lernen (DE-588)4193754-5 s Merkmalsextraktion (DE-588)4314440-8 s Bildgebendes Verfahren (DE-588)4006617-4 s Deep learning (DE-588)1135597375 s Automatische Klassifikation (DE-588)4120957-6 s DE-604 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-201303 Resolving-System kostenfrei Volltext https://d-nb.info/1268713104/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext application/pdf https://open.fau.de/handle/openfau/20130 Verlag kostenfrei Volltext 1\p emakn 0,10914 20220924 DE-101 https://d-nb.info/provenance/plan#emakn 2\p emasg 0,50171 20220924 DE-101 https://d-nb.info/provenance/plan#emasg 3\p npi 20220923 DE-101 https://d-nb.info/provenance/plan#npi
spellingShingle	Kubach, Joshua Same same but different a Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations Histopathologie (DE-588)4072532-7 gnd Bildgebendes Verfahren (DE-588)4006617-4 gnd Bildverarbeitung (DE-588)4006684-8 gnd Deep learning (DE-588)1135597375 gnd Convolutional Neural Network (DE-588)1209706350 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Merkmalsextraktion (DE-588)4314440-8 gnd Gehirn (DE-588)4019752-9 gnd Automatische Klassifikation (DE-588)4120957-6 gnd Hirnrinde (DE-588)4129358-7 gnd
subject_GND	(DE-588)4072532-7 (DE-588)4006617-4 (DE-588)4006684-8 (DE-588)1135597375 (DE-588)1209706350 (DE-588)4193754-5 (DE-588)4314440-8 (DE-588)4019752-9 (DE-588)4120957-6 (DE-588)4129358-7 (DE-588)4113937-9
title	Same same but different a Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations
title_auth	Same same but different a Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations
title_exact_search	Same same but different a Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations
title_exact_search_txtP	Same same but different a Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations
title_full	Same same but different a Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations vorgelegt von Joshua Kubach
title_fullStr	Same same but different a Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations vorgelegt von Joshua Kubach
title_full_unstemmed	Same same but different a Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations vorgelegt von Joshua Kubach
title_short	Same same but different
title_sort	same same but different a web based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations
title_sub	a Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations
topic	Histopathologie (DE-588)4072532-7 gnd Bildgebendes Verfahren (DE-588)4006617-4 gnd Bildverarbeitung (DE-588)4006684-8 gnd Deep learning (DE-588)1135597375 gnd Convolutional Neural Network (DE-588)1209706350 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Merkmalsextraktion (DE-588)4314440-8 gnd Gehirn (DE-588)4019752-9 gnd Automatische Klassifikation (DE-588)4120957-6 gnd Hirnrinde (DE-588)4129358-7 gnd
topic_facet	Histopathologie Bildgebendes Verfahren Bildverarbeitung Deep learning Convolutional Neural Network Maschinelles Lernen Merkmalsextraktion Gehirn Automatische Klassifikation Hirnrinde Hochschulschrift
url	https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-201303 https://d-nb.info/1268713104/34 https://open.fau.de/handle/openfau/20130
work_keys_str_mv	AT kubachjoshua samesamebutdifferentawebbaseddeeplearningapplicationrevealedclassifyingfeaturesforthehistopathologicdistinctionofcorticalmalformations

Verfügbarkeit

Es ist kein Print-Exemplar vorhanden.

Fernleihe Bestellen Achtung: Nicht im THWS-Bestand! Volltext öffnen

MARC

Datensatz im Suchindex

Es ist kein Print-Exemplar vorhanden.

Ähnliche Einträge