dc.contributor.author |
Lauschke, Volker M. |
|
dc.date.accessioned |
2023-05-22T14:29:53Z |
|
dc.date.available |
2023-05-22T14:29:53Z |
|
dc.date.issued |
2022 |
|
dc.identifier.issn |
2589-0042 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/141318 |
|
dc.language.iso |
en |
de_DE |
dc.publisher |
Cell Press |
de_DE |
dc.relation.uri |
http://dx.doi.org/10.1016/j.isci.2022.105506 |
|
dc.subject.ddc |
500 |
de_DE |
dc.title |
Scellseg: A style-aware deep learning tool for adaptive cell instance segmentation by contrastive fine-tuning |
de_DE |
dc.type |
Article |
de_DE |
utue.quellen.id |
20230202000000_00049 |
|
utue.personen.roh |
Xun, Dejin |
|
utue.personen.roh |
Chen, Deheng |
|
utue.personen.roh |
Zhou, Yitian |
|
utue.personen.roh |
Lauschke, Volker M. |
|
utue.personen.roh |
Wang, Rui |
|
utue.personen.roh |
Wang, Yi |
|
dcterms.isPartOf.ZSTitelID |
Iscience |
de_DE |
dcterms.isPartOf.ZS-Issue |
12 |
de_DE |
dcterms.isPartOf.ZS-Volume |
25 |
de_DE |
utue.fakultaet |
Universität Tübingen (ohne Fakultätsangabe) |
|