dc.contributor.author |
Kerber, Bjarne |
|
dc.contributor.author |
Hepp, Tobias |
|
dc.contributor.author |
Gatidis, Sergios |
|
dc.contributor.author |
Küstner, Thomas |
|
dc.date.accessioned |
2024-09-24T09:17:40Z |
|
dc.date.available |
2024-09-24T09:17:40Z |
|
dc.date.issued |
2023 |
|
dc.identifier.issn |
1932-6203 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/157678 |
|
dc.language.iso |
en |
de_DE |
dc.publisher |
San Francisco : Public Library Science |
de_DE |
dc.relation.uri |
http://dx.doi.org/10.1371/journal.pone.0292993 |
de_DE |
dc.subject.ddc |
500 |
de_DE |
dc.title |
Deep learning-based age estimation from clinical Computed Tomography image data of the thorax and abdomen in the adult population |
de_DE |
dc.type |
Article |
de_DE |
utue.quellen.id |
20240730000000_00668 |
|
utue.personen.roh |
Kerber, Bjarne |
|
utue.personen.roh |
Hepp, Tobias |
|
utue.personen.roh |
Kuestner, Thomas |
|
utue.personen.roh |
Gatidis, Sergios |
|
dcterms.isPartOf.ZSTitelID |
Plos One |
de_DE |
dcterms.isPartOf.ZS-Issue |
Article e0292993 |
de_DE |
dcterms.isPartOf.ZS-Volume |
18 (11) |
de_DE |
utue.fakultaet |
04 Medizinische Fakultät |
de_DE |