Deep learning segmentation algorithms for X-ray CT data
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Dokumenttyp: | Buch/Monographie Hochschulschrift |
| Sprache: | Englisch |
| Veröffentlicht: |
Heidelberg
19 Jul. 2021
|
| DOI: | 10.11588/heidok.00030239 |
| Schlagworte: | |
| Online-Zugang: | Resolving-System, kostenfrei: https://nbn-resolving.de/urn:nbn:de:bsz:16-heidok-302390 Resolving-System, kostenfrei: http://dx.doi.org/10.11588/heidok.00030239 Verlag, kostenfrei, Volltext: http://www.ub.uni-heidelberg.de/archiv/30239 Resolving-System: https://doi.org/10.11588/heidok.00030239 Resolving-System: https://nbn-resolving.org/urn:nbn:de:bsz:16-heidok-302390 Langzeitarchivierung Nationalbibliothek: https://d-nb.info/123727088X/34 Verlag, kostenfrei: http://www.ub.uni-heidelberg.de/archiv/30239 
|
| Verfasserangaben: | put forward by Master of scienceTomasz Kazimierz Konopczynski ; advisors: Prof. Dr. Jürgen Hesser [und ein weiterer Gutachter] |
MARC
| LEADER | 00000cam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1764133757 | ||
| 003 | DE-627 | ||
| 005 | 20230111000954.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 210722s2021 gw |||||om 00| ||eng c | ||
| 016 | 7 | |a 123727088X |2 DE-101 | |
| 024 | 7 | |a urn:nbn:de:bsz:16-heidok-302390 |2 urn | |
| 024 | 7 | |a 10.11588/heidok.00030239 |2 doi | |
| 035 | |a (DE-627)1764133757 | ||
| 035 | |a (DE-599)KXP1764133757 | ||
| 035 | |a (OCoLC)1261048322 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 044 | |c XA-DE-BW | ||
| 082 | 0 | |a 006.31 |q DE-101 | |
| 082 | 0 | 4 | |a 004 |q DE-101 |
| 084 | |a 28 |2 sdnb | ||
| 084 | |a 28 |2 sdnb | ||
| 100 | 1 | |a Konopczynski, Tomasz |d 1989- |e VerfasserIn |0 (DE-588)1237428432 |0 (DE-627)1764136616 |4 aut | |
| 245 | 1 | 0 | |a Deep learning segmentation algorithms for X-ray CT data |c put forward by Master of scienceTomasz Kazimierz Konopczynski ; advisors: Prof. Dr. Jürgen Hesser [und ein weiterer Gutachter] |
| 264 | 1 | |a Heidelberg |c 19 Jul. 2021 | |
| 300 | |a 1 Online-Ressource (107 Seiten) |b Illustrationen, Diagramme | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 502 | |b Dissertation |c Heidelberg University |d 2021 | ||
| 546 | |a Zusammenfassungen in deutscher und englischer Sprache | ||
| 650 | 0 | 7 | |0 (DE-588)1135597375 |0 (DE-627)890512922 |0 (DE-576)489847412 |a Deep Learning |2 gnd |
| 655 | 7 | |a Hochschulschrift |0 (DE-588)4113937-9 |0 (DE-627)105825778 |0 (DE-576)209480580 |2 gnd-content | |
| 700 | 1 | |a Hesser, Jürgen |d 1964- |e AkademischeR BetreuerIn |0 (DE-588)1020647353 |0 (DE-627)691291071 |0 (DE-576)361513739 |4 dgs | |
| 751 | |a Heidelberg |0 (DE-588)4023996-2 |0 (DE-627)106300814 |0 (DE-576)208952578 |4 uvp | ||
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Konopczynski, Tomasz, 1989 - |t Deep learning segmentation algorithms for X-ray CT data |d Heidelberg, 2021 |h xi, 91 Blätter |w (DE-627)1767255942 |
| 856 | 4 | 0 | |u https://nbn-resolving.de/urn:nbn:de:bsz:16-heidok-302390 |q application/pdf |x Resolving-System |z kostenfrei |
| 856 | 4 | 0 | |u http://dx.doi.org/10.11588/heidok.00030239 |v 2022-02-07 |x Resolving-System |z kostenfrei |
| 856 | 4 | 0 | |u http://www.ub.uni-heidelberg.de/archiv/30239 |q application/pdf |v 2022-02-07 |x Verlag |z kostenfrei |3 Volltext |
| 856 | 4 | 0 | |u https://doi.org/10.11588/heidok.00030239 |v 2021-08-04 |x Resolving-System |
| 856 | 4 | 0 | |u https://nbn-resolving.org/urn:nbn:de:bsz:16-heidok-302390 |v 2021-08-04 |x Resolving-System |
| 856 | 4 | 0 | |u https://d-nb.info/123727088X/34 |v 2021-08-04 |x Langzeitarchivierung Nationalbibliothek |
| 856 | 4 | 0 | |u http://www.ub.uni-heidelberg.de/archiv/30239 |q application/pdf |v 2021-08-04 |x Verlag |z kostenfrei |z kostenfrei |
| 912 | |a GBV-ODiss | ||
| 951 | |a BO | ||
| 992 | |a 20210722 | ||
| 993 | |a Thesis | ||
| 994 | |a 2021 | ||
| 998 | |g 1237428432 |a Konopczynski, Tomasz |m 1237428432:Konopczynski, Tomasz |d 130000 |d 130001 |e 130000PK1237428432 |e 130001PK1237428432 |k 0/130000/ |k 1/130000/130001/ |p 1 |x j |y j | ||
| 999 | |a KXP-PPN1764133757 |e 3956859987 | ||
| BIB | |a Y | ||
| JSO | |a {"physDesc":[{"extent":"1 Online-Ressource (107 Seiten)","noteIll":"Illustrationen, Diagramme"}],"name":{"displayForm":["put forward by Master of scienceTomasz Kazimierz Konopczynski ; advisors: Prof. Dr. Jürgen Hesser [und ein weiterer Gutachter]"]},"recId":"1764133757","id":{"doi":["10.11588/heidok.00030239"],"uri":["urn:nbn:de:bsz:16-heidok-302390"],"eki":["1764133757"]},"noteThesis":["Dissertation. - Heidelberg University. - 2021"],"person":[{"display":"Konopczynski, Tomasz","family":"Konopczynski","given":"Tomasz","role":"aut"},{"display":"Hesser, Jürgen","family":"Hesser","given":"Jürgen","role":"dgs"}],"title":[{"title_sort":"Deep learning segmentation algorithms for X-ray CT data","title":"Deep learning segmentation algorithms for X-ray CT data"}],"origin":[{"publisherPlace":"Heidelberg","dateIssuedDisp":"19 Jul. 2021","dateIssuedKey":"2021"}],"type":{"bibl":"thesis","media":"Online-Ressource"},"language":["eng"]} | ||
| SRT | |a KONOPCZYNSDEEPLEARNI1920 | ||