Multi-modal body part segmentation of infants using deep learning

Voß, Florian; Hoog Antink, Christoph Bernhard; Rixen, Jöran; Lyra, Simon Alexander; Leonhardt, Steffen; Brechmann, Noah

doi:10.18154/RWTH-2023-03867

Multi-modal body part segmentation of infants using deep learning

Voß, Florian (Corresponding author)^RWTH* ; Brechmann, Noah^RWTH* ; Lyra, Simon Alexander^RWTH* ; Rixen, Jöran^RWTH* ; Leonhardt, Steffen^RWTH* ; Hoog Antink, Christoph Bernhard^RWTH*

In
Biomedical engineering online 22, Seiten/Artikel-Nr.:28

2023

ImpressumLondon : BioMed Central

Umfang[1]-20

ISSN1475-925X

Online
DOI: 10.18154/RWTH-2023-03867
DOI: 10.1186/s12938-023-01092-0
10.1186/s12938-023-01092-0
URL: https://publications.rwth-aachen.de/record/955999/files/955999.pdf

Einrichtungen

Projekte

Thematische Einordnung (Klassifikation)
DDC: 600

OpenAccess:
PDF

Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85150766366
WOS Core Collection: WOS:000954713200001
PubMed: pmid:36949491

Interne Identnummern
RWTH-2023-03867
Datensatz-ID: 955999

Beteiligte Länder
Germany

;

;

;

; Article Processing Charges ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Clarivate Analytics Master Journal List ; DOAJ Seal ; DOAJ Seal ; Ebsco Academic Search ; Ebsco Academic Search ; Essential Science Indicators ; Essential Science Indicators ; Fees ; Fees ; IF < 5 ; IF < 5 ; JCR ; JCR ; PubMed Central ; SCOPUS ; SCOPUS ; Science Citation Index Expanded ; Science Citation Index Expanded ; Web of Science Core Collection ; Web of Science Core Collection