Hybrid Machine Intelligence for Medical Image Analysis:
Gespeichert in:
Weitere Verfasser: | , , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Singapore
Springer Singapore
2020
Singapore Springer |
Ausgabe: | 1st ed. 2020 |
Schriftenreihe: | Studies in Computational Intelligence
841 |
Schlagworte: | |
Online-Zugang: | BTU01 FAB01 FAN01 FAW01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 TUM01 UBY01 Volltext |
Beschreibung: | 1 Online-Ressource (XVI, 293 p. 179 illus., 114 illus. in color) |
ISBN: | 9789811389306 |
ISSN: | 1860-949X |
DOI: | 10.1007/978-981-13-8930-6 |
Internformat
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Datensatz im Suchindex
DE-BY-FWS_katkey | 735376 |
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any_adam_object | |
author2 | Bhattacharyya, Siddhartha Konar, Debanjan Platos, Jan Kar, Chinmoy Sharma, Kalpana |
author2_role | edt edt edt edt edt |
author2_variant | s b sb d k dk j p jp c k ck k s ks |
author_facet | Bhattacharyya, Siddhartha Konar, Debanjan Platos, Jan Kar, Chinmoy Sharma, Kalpana |
building | Verbundindex |
bvnumber | BV046137522 |
classification_rvk | ST 300 |
classification_tum | ELT 000 MAS 000 |
collection | ZDB-2-ENG |
ctrlnum | (ZDB-2-ENG)9789811389306 (OCoLC)1119021917 (DE-599)BVBBV046137522 |
dewey-full | 621.382 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 621 - Applied physics |
dewey-raw | 621.382 |
dewey-search | 621.382 |
dewey-sort | 3621.382 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Informatik Elektrotechnik Elektrotechnik / Elektronik / Nachrichtentechnik Maschinenbau |
doi_str_mv | 10.1007/978-981-13-8930-6 |
edition | 1st ed. 2020 |
format | Electronic eBook |
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id | DE-604.BV046137522 |
illustrated | Not Illustrated |
indexdate | 2024-08-01T14:46:56Z |
institution | BVB |
isbn | 9789811389306 |
issn | 1860-949X |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031517822 |
oclc_num | 1119021917 |
open_access_boolean | |
owner | DE-1050 DE-860 DE-91 DE-BY-TUM DE-1046 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-706 DE-634 DE-1043 |
owner_facet | DE-1050 DE-860 DE-91 DE-BY-TUM DE-1046 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-706 DE-634 DE-1043 |
physical | 1 Online-Ressource (XVI, 293 p. 179 illus., 114 illus. in color) |
psigel | ZDB-2-ENG ZDB-2-ENG_2020_Fremddaten |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | Springer Singapore Springer |
record_format | marc |
series2 | Studies in Computational Intelligence |
spellingShingle | Hybrid Machine Intelligence for Medical Image Analysis Signal, Image and Speech Processing Artificial Intelligence Image Processing and Computer Vision Pattern Recognition Artificial intelligence Computer vision Optical pattern recognition |
title | Hybrid Machine Intelligence for Medical Image Analysis |
title_auth | Hybrid Machine Intelligence for Medical Image Analysis |
title_exact_search | Hybrid Machine Intelligence for Medical Image Analysis |
title_full | Hybrid Machine Intelligence for Medical Image Analysis edited by Siddhartha Bhattacharyya, Debanjan Konar, Jan Platos, Chinmoy Kar, Kalpana Sharma |
title_fullStr | Hybrid Machine Intelligence for Medical Image Analysis edited by Siddhartha Bhattacharyya, Debanjan Konar, Jan Platos, Chinmoy Kar, Kalpana Sharma |
title_full_unstemmed | Hybrid Machine Intelligence for Medical Image Analysis edited by Siddhartha Bhattacharyya, Debanjan Konar, Jan Platos, Chinmoy Kar, Kalpana Sharma |
title_short | Hybrid Machine Intelligence for Medical Image Analysis |
title_sort | hybrid machine intelligence for medical image analysis |
topic | Signal, Image and Speech Processing Artificial Intelligence Image Processing and Computer Vision Pattern Recognition Artificial intelligence Computer vision Optical pattern recognition |
topic_facet | Signal, Image and Speech Processing Artificial Intelligence Image Processing and Computer Vision Pattern Recognition Artificial intelligence Computer vision Optical pattern recognition |
url | https://doi.org/10.1007/978-981-13-8930-6 |
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