An artificial intelligence-based 3D-segmentation assessment of sarcopenia utilizing whole-body computed tomography in patients with multiple myeloma

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Main Authors: U. Dapunt, T. Nonnenmacher, S. Zschäbitz, M. Burghardt, M. Hajiyianni, E.K. Mai, M.S. Raab, C. Müller-Tidow, H.U. Kauczor, H. Goldschmidt, T.D. Do
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Brain and Spine
Online Access:http://www.sciencedirect.com/science/article/pii/S2772529424012669
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author U. Dapunt
T. Nonnenmacher
S. Zschäbitz
M. Burghardt
M. Hajiyianni
E.K. Mai
M.S. Raab
C. Müller-Tidow
H.U. Kauczor
H. Goldschmidt
T.D. Do
author_facet U. Dapunt
T. Nonnenmacher
S. Zschäbitz
M. Burghardt
M. Hajiyianni
E.K. Mai
M.S. Raab
C. Müller-Tidow
H.U. Kauczor
H. Goldschmidt
T.D. Do
author_sort U. Dapunt
collection DOAJ
format Article
id doaj-art-d67e31d9967d43d6bbac66b0c11b8211
institution DOAJ
issn 2772-5294
language English
publishDate 2024-01-01
publisher Elsevier
record_format Article
series Brain and Spine
spelling doaj-art-d67e31d9967d43d6bbac66b0c11b82112025-08-20T02:49:01ZengElsevierBrain and Spine2772-52942024-01-01410401010.1016/j.bas.2024.104010An artificial intelligence-based 3D-segmentation assessment of sarcopenia utilizing whole-body computed tomography in patients with multiple myelomaU. Dapunt0T. Nonnenmacher1S. Zschäbitz2M. Burghardt3M. Hajiyianni4E.K. Mai5M.S. Raab6C. Müller-Tidow7H.U. Kauczor8H. Goldschmidt9T.D. Do10Universitätsklinikum Heidelberg, GMMG-Studiengruppe/Medizinische Klinik 5, Heidelberg, DeutschlandUniversitätsklinikum Heidelberg, Klinik für diagnostische und interventionelle Radiologie, Heidelberg, DeutschlandNationales Centrum für Tumorerkrankungen (NCT), Medizinische Onkologie, Heidelberg, DeutschlandUniversitätsklinikum Heidelberg, GMMG-Studiengruppe/Medizinische Klinik 5, Heidelberg, DeutschlandUniversitätsklinikum Heidelberg, GMMG-Studiengruppe/Medizinische Klinik 5, Heidelberg, DeutschlandUniversitätsklinikum Heidelberg, GMMG-Studiengruppe/Medizinische Klinik 5, Heidelberg, DeutschlandUniversitätsklinikum Heidelberg, GMMG-Studiengruppe/Medizinische Klinik 5, Heidelberg, DeutschlandUniversitätsklinikum Heidelberg, Medizinische Klinik 5, Heidelberg, DeutschlandUniversitätsklinikum Heidelberg, Klinik für diagnostische und interventionelle Radiologie, Heidelberg, DeutschlandUniversitätsklinikum Heidelberg, GMMG-Studiengruppe/Medizinische Klinik 5, Heidelberg, Deutschland; Nationales Centrum für Tumorerkrankungen (NCT), Medizinische Onkologie, Heidelberg, DeutschlandUniversitätsklinikum Heidelberg, Klinik für diagnostische und interventionelle Radiologie, Heidelberg, Deutschland; Universitätsklinikum Heidelberg, Abteilung für Nuklearmedizin, Heidelberg, Deutschlandhttp://www.sciencedirect.com/science/article/pii/S2772529424012669
spellingShingle U. Dapunt
T. Nonnenmacher
S. Zschäbitz
M. Burghardt
M. Hajiyianni
E.K. Mai
M.S. Raab
C. Müller-Tidow
H.U. Kauczor
H. Goldschmidt
T.D. Do
An artificial intelligence-based 3D-segmentation assessment of sarcopenia utilizing whole-body computed tomography in patients with multiple myeloma
Brain and Spine
title An artificial intelligence-based 3D-segmentation assessment of sarcopenia utilizing whole-body computed tomography in patients with multiple myeloma
title_full An artificial intelligence-based 3D-segmentation assessment of sarcopenia utilizing whole-body computed tomography in patients with multiple myeloma
title_fullStr An artificial intelligence-based 3D-segmentation assessment of sarcopenia utilizing whole-body computed tomography in patients with multiple myeloma
title_full_unstemmed An artificial intelligence-based 3D-segmentation assessment of sarcopenia utilizing whole-body computed tomography in patients with multiple myeloma
title_short An artificial intelligence-based 3D-segmentation assessment of sarcopenia utilizing whole-body computed tomography in patients with multiple myeloma
title_sort artificial intelligence based 3d segmentation assessment of sarcopenia utilizing whole body computed tomography in patients with multiple myeloma
url http://www.sciencedirect.com/science/article/pii/S2772529424012669
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