Semantic segmentation to identify bladder layers from H&E Images

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1746-1596

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Semantic segmentation to identify bladder layers from H&E Images ; volume:15 ; number:1 ; day:16 ; month:7 ; year:2020 ; pages:1-8 ; date:12.2020
Diagnostic pathology ; 15, Heft 1 (16.7.2020), 1-8, 12.2020

Creator: Niazi, Muhammad Khalid Khan
Yazgan, Enes
Tavolara, Thomas E.
Li, Wencheng
Lee, Cheryl T.
Parwani, Anil
Gurcan, Metin N.

Contributor: SpringerLink (Online service)

DOI: 10.1186/s13000-020-01002-1

URN: urn:nbn:de:101:1-2020091221440077903725

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:53 AM CEST

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Niazi, Muhammad Khalid Khan
Yazgan, Enes
Tavolara, Thomas E.
Li, Wencheng
Lee, Cheryl T.
Parwani, Anil
Gurcan, Metin N.
SpringerLink (Online service)

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Semantic segmentation to identify bladder layers from H&E Images

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