|
|
|
|
LEADER |
03870cam a2200721 4500 |
001 |
183-177606349X |
003 |
DE-627 |
005 |
20230428085459.0 |
007 |
tu |
008 |
211103s2021 gw ||||| m 00| ||eng c |
015 |
|
|
|a 21,N44
|2 dnb
|
016 |
7 |
|
|a 1244421030
|2 DE-101
|
020 |
|
|
|a 9783961474455
|c : EUR 21.50 (DE), EUR 22.10 (AT)
|9 978-3-96147-445-5
|
020 |
|
|
|a 3961474451
|9 3-96147-445-1
|
024 |
3 |
|
|a 9783961474455
|
035 |
|
|
|a (DE-627)177606349X
|
035 |
|
|
|a (DE-599)DNB1244421030
|
035 |
|
|
|a (OCoLC)1282182076
|
040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rda
|
041 |
|
|
|a eng
|
044 |
|
|
|c XA-DE-BY
|
082 |
0 |
|
|a 616.3307545
|q DE-101
|
082 |
0 |
4 |
|a 610
|a 670
|a 004
|q DE-101
|
084 |
|
|
|a 44.31
|2 bkl
|
084 |
|
|
|a 54.74
|2 bkl
|
084 |
|
|
|a 44.81
|2 bkl
|
100 |
1 |
|
|a Hohmann, Martin
|e VerfasserIn
|0 (DE-588)1243750030
|0 (DE-627)1774738333
|4 aut
|
245 |
1 |
0 |
|a Machine learning and hyper spectral imaging: multi spectral endoscopy in the gastro intestinal tract towards hyper spectral endoscopy
|c Martin Hohmann
|
264 |
|
1 |
|a Erlangen
|b FAU University Press
|c 2021
|
300 |
|
|
|a x, 137 Seiten
|b Illustrationen, Diagramme
|c 24 cm x 17 cm, 460 g
|
336 |
|
|
|a Text
|b txt
|2 rdacontent
|
337 |
|
|
|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
|
338 |
|
|
|a Band
|b nc
|2 rdacarrier
|
490 |
1 |
|
|a FAU Studien aus dem Maschinenbau
|v 374
|
502 |
|
|
|b Dissertation
|c FAU Friedrich-Alexander-Universität Erlangen-Nürnberg
|d 2021
|
655 |
|
7 |
|a Hochschulschrift
|0 (DE-588)4113937-9
|0 (DE-627)105825778
|0 (DE-576)209480580
|2 gnd-content
|
689 |
0 |
0 |
|D s
|0 (DE-588)4019404-8
|0 (DE-627)106321560
|0 (DE-576)208929282
|a Gastroenterologische Endoskopie
|2 gnd
|
689 |
0 |
1 |
|D s
|0 (DE-588)4011068-0
|0 (DE-627)106354442
|0 (DE-576)208891730
|a Darmkrebs
|2 gnd
|
689 |
0 |
2 |
|D s
|0 (DE-588)4006617-4
|0 (DE-627)104409800
|0 (DE-576)208866329
|a Bildgebendes Verfahren
|2 gnd
|
689 |
0 |
3 |
|D s
|0 (DE-588)1078791082
|0 (DE-627)839459505
|0 (DE-576)451818229
|a Hyperspektraler Sensor
|2 gnd
|
689 |
0 |
4 |
|D s
|0 (DE-588)4193754-5
|0 (DE-627)105224782
|0 (DE-576)21008944X
|a Maschinelles Lernen
|2 gnd
|
689 |
0 |
5 |
|D s
|0 (DE-588)4113303-1
|0 (DE-627)104682418
|0 (DE-576)209475366
|a Diagnostik
|2 gnd
|
689 |
0 |
|
|5 DE-101
|
689 |
1 |
0 |
|D s
|0 (DE-588)4019404-8
|0 (DE-627)106321560
|0 (DE-576)208929282
|a Gastroenterologische Endoskopie
|2 gnd
|
689 |
1 |
1 |
|D s
|0 (DE-588)4011068-0
|0 (DE-627)106354442
|0 (DE-576)208891730
|a Darmkrebs
|2 gnd
|
689 |
1 |
2 |
|D s
|0 (DE-588)4006617-4
|0 (DE-627)104409800
|0 (DE-576)208866329
|a Bildgebendes Verfahren
|2 gnd
|
689 |
1 |
3 |
|D s
|0 (DE-588)1078791082
|0 (DE-627)839459505
|0 (DE-576)451818229
|a Hyperspektraler Sensor
|2 gnd
|
689 |
1 |
4 |
|D s
|0 (DE-588)4193754-5
|0 (DE-627)105224782
|0 (DE-576)21008944X
|a Maschinelles Lernen
|2 gnd
|
689 |
1 |
5 |
|D s
|0 (DE-588)4113303-1
|0 (DE-627)104682418
|0 (DE-576)209475366
|a Diagnostik
|2 gnd
|
689 |
1 |
|
|5 (DE-627)
|
710 |
2 |
|
|a Friedrich-Alexander-Universität Erlangen-Nürnberg
|e Grad-verleihende Institution
|0 (DE-588)2000862-4
|0 (DE-627)101360789
|0 (DE-576)191570397
|4 dgg
|
710 |
2 |
|
|a FAU University Press ein Imprint der Universität Erlangen-Nürnberg
|b Universitätsbibliothek
|e Verlag
|0 (DE-588)1068111240
|0 (DE-627)820123382
|0 (DE-576)427336821
|4 pbl
|
751 |
|
|
|a Erlangen
|0 (DE-588)4015299-6
|0 (DE-627)106337254
|0 (DE-576)208911154
|4 uvp
|
751 |
|
|
|a Nürnberg
|0 (DE-588)4042742-0
|0 (DE-627)106212834
|0 (DE-576)209052325
|4 uvp
|
830 |
|
0 |
|a FAU Studien aus dem Maschinenbau
|v 374
|9 374
|w (DE-627)1029775532
|w (DE-576)510509509
|w (DE-600)2940892-1
|x 2625-9974
|7 ns
|
856 |
4 |
2 |
|u https://d-nb.info/1244421030/04
|m B:DE-101
|q application/pdf
|v 2022-02-16
|x Verlag
|3 Inhaltsverzeichnis
|
912 |
|
|
|a SSG-OLC-pha
|
924 |
0 |
|
|a 4004678447
|b DE-89
|9 89
|c GBV
|d c
|g RA 8790(374)
|h Haus2
|
936 |
b |
k |
|a 44.31
|j Medizinische Physik
|0 (DE-627)106409735
|
936 |
b |
k |
|a 54.74
|j Maschinelles Sehen
|0 (DE-627)10641030X
|
936 |
b |
k |
|a 44.81
|j Onkologie
|0 (DE-627)106409433
|
951 |
|
|
|a BO
|
980 |
|
|
|a 177606349X
|b 183
|c sid-183-col-kxpbbi
|
SOLR
_version_ |
1797788645561729024 |
author |
Hohmann, Martin |
author_corporate |
Friedrich-Alexander-Universität Erlangen-Nürnberg, FAU University Press ein Imprint der Universität Erlangen-Nürnberg Universitätsbibliothek |
author_corporate_role |
dgg, pbl |
author_facet |
Hohmann, Martin, Friedrich-Alexander-Universität Erlangen-Nürnberg, FAU University Press ein Imprint der Universität Erlangen-Nürnberg Universitätsbibliothek |
author_role |
aut |
author_sort |
Hohmann, Martin |
author_variant |
m h mh |
building |
Library A |
collection |
SSG-OLC-pha, sid-183-col-kxpbbi |
ctrlnum |
(DE-627)177606349X, (DE-599)DNB1244421030, (OCoLC)1282182076 |
dewey-full |
616.3307545, 610, 670, 004 |
dewey-hundreds |
600 - Technology (Applied sciences), 000 - Computer science, information, general works |
dewey-ones |
616 - Diseases, 610 - Medicine and health, 670 - Manufacturing, 004 - Computer science |
dewey-raw |
616.3307545, 610, 670, 004 |
dewey-search |
616.3307545, 610, 670, 004 |
dewey-sort |
3616.3307545 |
dewey-tens |
610 - Medicine and health, 670 - Manufacturing, 000 - Computer science, information, general works |
facet_912a |
SSG-OLC-pha |
facet_avail |
Local |
facet_local_del330 |
Gastroenterologische Endoskopie, Darmkrebs, Bildgebendes Verfahren, Hyperspektraler Sensor, Maschinelles Lernen, Diagnostik |
finc_class_facet |
Technik, Medizin, Informatik |
fincclass_txtF_mv |
medicine, technology, science-computerscience |
format |
Book, Thesis |
format_access_txtF_mv |
Thesis |
format_de14 |
Book, E-Book |
format_de15 |
Book, E-Book |
format_del152 |
Buch |
format_detail_txtF_mv |
text-print-monograph-independent-thesis |
format_dezi4 |
e-Book |
format_finc |
Book, E-Book, Thesis |
format_legacy |
Book |
format_legacy_nrw |
Book, E-Book |
format_nrw |
Book, E-Book |
format_strict_txtF_mv |
Thesis |
genre |
Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content |
genre_facet |
Hochschulschrift |
geogr_code |
not assigned |
geogr_code_person |
not assigned |
hierarchy_parent_id |
183-1029775532 |
hierarchy_parent_title |
FAU Studien aus dem Maschinenbau |
hierarchy_sequence |
374 |
hierarchy_top_id |
183-1029775532 |
hierarchy_top_title |
FAU Studien aus dem Maschinenbau |
id |
183-177606349X |
illustrated |
Not Illustrated |
imprint |
Erlangen, FAU University Press, 2021 |
imprint_str_mv |
Erlangen: FAU University Press, 2021 |
institution |
FID-BBI-DE-23 |
is_hierarchy_id |
183-177606349X |
is_hierarchy_title |
Machine learning and hyper spectral imaging: multi spectral endoscopy in the gastro intestinal tract towards hyper spectral endoscopy |
isbn |
9783961474455, 3961474451 |
issn_isn_mv |
2625-9974 |
language |
English |
last_indexed |
2024-04-30T19:20:57.469Z |
marc024a_ct_mv |
9783961474455 |
marc_error |
[geogr_code]Unable to make public java.lang.AbstractStringBuilder java.lang.AbstractStringBuilder.append(java.lang.String) accessible: module java.base does not "opens java.lang" to unnamed module @64e01542 |
match_str |
hohmann2021machinelearningandhyperspectralimagingmultispectralendoscopyinthegastrointestinaltracttowardshyperspectralendoscopy |
mega_collection |
K10plus Verbundkatalog |
multipart_link |
510509509 |
multipart_part |
(510509509)374 |
oclc_num |
1282182076 |
physical |
x, 137 Seiten; Illustrationen, Diagramme; 24 cm x 17 cm, 460 g |
publishDate |
2021 |
publishDateSort |
2021 |
publishPlace |
Erlangen |
publisher |
FAU University Press |
record_format |
marcfinc |
record_id |
177606349X |
recordtype |
marcfinc |
rvk_facet |
No subject assigned |
series |
FAU Studien aus dem Maschinenbau, 374 |
series2 |
FAU Studien aus dem Maschinenbau ; 374 |
source_id |
183 |
spelling |
Hohmann, Martin VerfasserIn (DE-588)1243750030 (DE-627)1774738333 aut, Machine learning and hyper spectral imaging: multi spectral endoscopy in the gastro intestinal tract towards hyper spectral endoscopy Martin Hohmann, Erlangen FAU University Press 2021, x, 137 Seiten Illustrationen, Diagramme 24 cm x 17 cm, 460 g, Text txt rdacontent, ohne Hilfsmittel zu benutzen n rdamedia, Band nc rdacarrier, FAU Studien aus dem Maschinenbau 374, Dissertation FAU Friedrich-Alexander-Universität Erlangen-Nürnberg 2021, Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content, s (DE-588)4019404-8 (DE-627)106321560 (DE-576)208929282 Gastroenterologische Endoskopie gnd, s (DE-588)4011068-0 (DE-627)106354442 (DE-576)208891730 Darmkrebs gnd, s (DE-588)4006617-4 (DE-627)104409800 (DE-576)208866329 Bildgebendes Verfahren gnd, s (DE-588)1078791082 (DE-627)839459505 (DE-576)451818229 Hyperspektraler Sensor gnd, s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd, s (DE-588)4113303-1 (DE-627)104682418 (DE-576)209475366 Diagnostik gnd, DE-101, (DE-627), Friedrich-Alexander-Universität Erlangen-Nürnberg Grad-verleihende Institution (DE-588)2000862-4 (DE-627)101360789 (DE-576)191570397 dgg, FAU University Press ein Imprint der Universität Erlangen-Nürnberg Universitätsbibliothek Verlag (DE-588)1068111240 (DE-627)820123382 (DE-576)427336821 pbl, Erlangen (DE-588)4015299-6 (DE-627)106337254 (DE-576)208911154 uvp, Nürnberg (DE-588)4042742-0 (DE-627)106212834 (DE-576)209052325 uvp, FAU Studien aus dem Maschinenbau 374 374 (DE-627)1029775532 (DE-576)510509509 (DE-600)2940892-1 2625-9974 ns, https://d-nb.info/1244421030/04 B:DE-101 application/pdf 2022-02-16 Verlag Inhaltsverzeichnis |
spellingShingle |
Hohmann, Martin, Machine learning and hyper spectral imaging: multi spectral endoscopy in the gastro intestinal tract towards hyper spectral endoscopy, FAU Studien aus dem Maschinenbau, 374, Hochschulschrift, Gastroenterologische Endoskopie, Darmkrebs, Bildgebendes Verfahren, Hyperspektraler Sensor, Maschinelles Lernen, Diagnostik |
title |
Machine learning and hyper spectral imaging: multi spectral endoscopy in the gastro intestinal tract towards hyper spectral endoscopy |
title_auth |
Machine learning and hyper spectral imaging: multi spectral endoscopy in the gastro intestinal tract towards hyper spectral endoscopy |
title_full |
Machine learning and hyper spectral imaging: multi spectral endoscopy in the gastro intestinal tract towards hyper spectral endoscopy Martin Hohmann |
title_fullStr |
Machine learning and hyper spectral imaging: multi spectral endoscopy in the gastro intestinal tract towards hyper spectral endoscopy Martin Hohmann |
title_full_unstemmed |
Machine learning and hyper spectral imaging: multi spectral endoscopy in the gastro intestinal tract towards hyper spectral endoscopy Martin Hohmann |
title_in_hierarchy |
374. Machine learning and hyper spectral imaging: multi spectral endoscopy in the gastro intestinal tract towards hyper spectral endoscopy (2021) |
title_short |
Machine learning and hyper spectral imaging: multi spectral endoscopy in the gastro intestinal tract towards hyper spectral endoscopy |
title_sort |
machine learning and hyper spectral imaging: multi spectral endoscopy in the gastro intestinal tract towards hyper spectral endoscopy |
title_unstemmed |
Machine learning and hyper spectral imaging: multi spectral endoscopy in the gastro intestinal tract towards hyper spectral endoscopy |
topic |
Hochschulschrift, Gastroenterologische Endoskopie, Darmkrebs, Bildgebendes Verfahren, Hyperspektraler Sensor, Maschinelles Lernen, Diagnostik |
topic_facet |
Hochschulschrift, Gastroenterologische Endoskopie, Darmkrebs, Bildgebendes Verfahren, Hyperspektraler Sensor, Maschinelles Lernen, Diagnostik |
url |
https://d-nb.info/1244421030/04 |
work_keys_str_mv |
AT hohmannmartin machinelearningandhyperspectralimagingmultispectralendoscopyinthegastrointestinaltracttowardshyperspectralendoscopy, AT friedrichalexanderuniversitaterlangennurnberg machinelearningandhyperspectralimagingmultispectralendoscopyinthegastrointestinaltracttowardshyperspectralendoscopy, AT fauuniversitypresseinimprintderuniversitaterlangennurnberguniversitatsbibliothek machinelearningandhyperspectralimagingmultispectralendoscopyinthegastrointestinaltracttowardshyperspectralendoscopy |