Federated learning enables big data for rare cancer boundary detection

to connected objects

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
In: Nature Communications, 13.2022, 7346, 17 S.

Event
Veröffentlichung
(where)
Frankfurt am Main
(who)
Universitätsbibliothek Johann Christian Senckenberg
(when)
2022
Creator
Pati, Sarthak

DOI
10.1038/s41467-022-33407-5
URN
urn:nbn:de:hebis:30:3-855785
Rights
Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
25.03.2025, 1:54 PM CET

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Show original at data provider

Associated

  • Pati, Sarthak
  • Universitätsbibliothek Johann Christian Senckenberg

Time of origin

  • 2022

Other Objects (12)

Author Correction: Federated learning enables big data for rare cancer boundary detection

Author Correction: Federated learning enables big data for rare cancer boundary detection

A federated Europe

Monografie

A federated Europe

Federated Malay States.

Abschnitt

Federated Malay States.

Federated Malay States.

Abschnitt

Federated Malay States.

Federated Malay States.

Abschnitt

Federated Malay States.

Federated Malay States.

Abschnitt

Federated Malay States.

Federated Malay States.

Abschnitt

Federated Malay States.

Federated Malay States.

Abschnitt

Federated Malay States.

The Federated Malay States.

Aufsatz

The Federated Malay States.

The Federated Malay States.

Aufsatz

The Federated Malay States.

The big harmonica songbook : popular and rare folk tunes

The big harmonica songbook : popular and rare folk tunes

A federated multimedia database system

Hochschulschrift

A federated multimedia database system

Related objects