Segmentation, classification, and registration of multi-modality medical imaging data: MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020 : proceedings
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Körperschaft: | |
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Weitere Verfasser: | , , |
Format: | Elektronisch Tagungsbericht E-Book |
Sprache: | English |
Veröffentlicht: |
Cham, Switzerland
Springer
[2021]
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Schriftenreihe: | Image processing, computer Vision, pattern recognition, and graphics
12587 |
Schlagworte: | |
Online-Zugang: | DE-634 DE-858 DE-Aug4 DE-1050 DE-573 DE-M347 DE-92 DE-898 DE-860 DE-861 DE-863 DE-862 DE-523 DE-91 DE-384 DE-473 DE-19 DE-355 DE-703 DE-20 DE-706 DE-29 DE-739 Volltext |
Beschreibung: | 1 Online-Ressource Illustrationen, Diagramme |
ISBN: | 9783030718275 |
DOI: | 10.1007/978-3-030-71827-5 |
Internformat
MARC
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author2 | Shusharina, Nadya Heinrich, Mattias P. Huang, Ruobing |
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author_corporate | MICCAI Online |
author_corporate_role | aut |
author_facet | Shusharina, Nadya Heinrich, Mattias P. Huang, Ruobing MICCAI Online |
author_sort | MICCAI Online |
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dewey-ones | 006 - Special computer methods |
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dewey-sort | 16.6 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
discipline_str_mv | Informatik |
doi_str_mv | 10.1007/978-3-030-71827-5 |
format | Electronic Conference Proceeding eBook |
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genre | (DE-588)1071861417 Konferenzschrift 2020 Online gnd-content |
genre_facet | Konferenzschrift 2020 Online |
id | DE-604.BV047226255 |
illustrated | Not Illustrated |
index_date | 2024-07-03T16:59:16Z |
indexdate | 2024-10-16T04:00:56Z |
institution | BVB |
institution_GND | (DE-588)121968855X (DE-588)1234092328 (DE-588)123447400X (DE-588)1234474085 |
isbn | 9783030718275 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032630790 |
oclc_num | 1249681031 |
open_access_boolean | |
owner | DE-860 DE-19 DE-BY-UBM DE-858 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-384 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-91 DE-BY-TUM DE-355 DE-BY-UBR |
owner_facet | DE-860 DE-19 DE-BY-UBM DE-858 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-384 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-91 DE-BY-TUM DE-355 DE-BY-UBR |
physical | 1 Online-Ressource Illustrationen, Diagramme |
psigel | ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2021 ZDB-2-LNC_2021 ZDB-2-LNC ZDB-2-LNC_2021 |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | Springer |
record_format | marc |
series | Image processing, computer Vision, pattern recognition, and graphics |
series2 | Lecture notes in computer science Image processing, computer Vision, pattern recognition, and graphics |
spellingShingle | Segmentation, classification, and registration of multi-modality medical imaging data MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020 : proceedings Image processing, computer Vision, pattern recognition, and graphics Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computational Biology/Bioinformatics Optical data processing Artificial intelligence Bioinformatics |
subject_GND | (DE-588)1071861417 |
title | Segmentation, classification, and registration of multi-modality medical imaging data MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020 : proceedings |
title_auth | Segmentation, classification, and registration of multi-modality medical imaging data MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020 : proceedings |
title_exact_search | Segmentation, classification, and registration of multi-modality medical imaging data MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020 : proceedings |
title_exact_search_txtP | Segmentation, classification, and registration of multi-modality medical imaging data MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020 : proceedings |
title_full | Segmentation, classification, and registration of multi-modality medical imaging data MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020 : proceedings Nadya Shusharina, Mattias P. Heinrich, Ruobing Huang (eds.) |
title_fullStr | Segmentation, classification, and registration of multi-modality medical imaging data MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020 : proceedings Nadya Shusharina, Mattias P. Heinrich, Ruobing Huang (eds.) |
title_full_unstemmed | Segmentation, classification, and registration of multi-modality medical imaging data MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020 : proceedings Nadya Shusharina, Mattias P. Heinrich, Ruobing Huang (eds.) |
title_short | Segmentation, classification, and registration of multi-modality medical imaging data |
title_sort | segmentation classification and registration of multi modality medical imaging data miccai 2020 challenges abcs 2020 l2r 2020 tn scui 2020 held in conjunction with miccai 2020 lima peru october 4 8 2020 proceedings |
title_sub | MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020 : proceedings |
topic | Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computational Biology/Bioinformatics Optical data processing Artificial intelligence Bioinformatics |
topic_facet | Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computational Biology/Bioinformatics Optical data processing Artificial intelligence Bioinformatics Konferenzschrift 2020 Online |
url | https://doi.org/10.1007/978-3-030-71827-5 |
volume_link | (DE-604)BV014880109 |
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