Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks ; volume:19 ; number:1 ; day:27 ; month:2 ; year:2018 ; pages:1-9 ; date:12.2018
BMC bioinformatics ; 19, Heft 1 (27.2.2018), 1-9, 12.2018
- Klassifikation
-
Biowissenschaften, Biologie
- Urheber
-
Yi, Faliu
- Beteiligte Personen und Organisationen
-
Yang, Lin
Wang, Shidan
Guo, Lei
Huang, Chenglong
Xie, Yang
Xiao, Guanghua
SpringerLink (Online service)
- DOI
-
10.1186/s12859-018-2055-z
- URN
-
urn:nbn:de:101:1-2018091001384773764283
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:22 MESZ
Datenpartner
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Beteiligte
- Yi, Faliu
- Yang, Lin
- Wang, Shidan
- Guo, Lei
- Huang, Chenglong
- Xie, Yang
- Xiao, Guanghua
- SpringerLink (Online service)
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