Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2398-6352
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer ; volume:2 ; number:1 ; day:7 ; month:6 ; year:2019 ; pages:1-10 ; date:12.2019
npj digital medicine ; 2, Heft 1 (7.6.2019), 1-10, 12.2019
- Urheber
-
Nagpal, Kunal
Foote, Davis
Liu, Yun
Chen, Po-Hsuan Cameron
Wulczyn, Ellery
Tan, Fraser
Olson, Niels
Smith, Jenny L.
Mohtashamian, Arash
Wren, James H.
Corrado, Greg S.
MacDonald, Robert
Peng, Lily H.
Amin, Mahul B.
Evans, Andrew J.
Sangoi, Ankur R.
Mermel, Craig H.
Hipp, Jason D.
Stumpe, Martin C.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41746-019-0112-2
- URN
-
urn:nbn:de:101:1-2019092010582870506252
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:20 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Nagpal, Kunal
- Foote, Davis
- Liu, Yun
- Chen, Po-Hsuan Cameron
- Wulczyn, Ellery
- Tan, Fraser
- Olson, Niels
- Smith, Jenny L.
- Mohtashamian, Arash
- Wren, James H.
- Corrado, Greg S.
- MacDonald, Robert
- Peng, Lily H.
- Amin, Mahul B.
- Evans, Andrew J.
- Sangoi, Ankur R.
- Mermel, Craig H.
- Hipp, Jason D.
- Stumpe, Martin C.
- SpringerLink (Online service)
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