MSAL-Net: improve accurate segmentation of nuclei in histopathology images by multiscale attention learning network
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1472-6947
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
MSAL-Net: improve accurate segmentation of nuclei in histopathology images by multiscale attention learning network ; volume:22 ; number:1 ; day:4 ; month:4 ; year:2022 ; pages:1-11 ; date:12.2022
BMC medical informatics and decision making ; 22, Heft 1 (4.4.2022), 1-11, 12.2022
- Urheber
-
Ali, Haider
Haq, Imran ul
Cui, Lei
Feng, Jun
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12911-022-01826-5
- URN
-
urn:nbn:de:101:1-2022062219371693033735
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:24 MESZ
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Beteiligte
- Ali, Haider
- Haq, Imran ul
- Cui, Lei
- Feng, Jun
- SpringerLink (Online service)
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