A Machine Learning-Based Image Segmentation Method to Quantify In Vitro Osteoclast Culture Endpoints

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: A Machine Learning-Based Image Segmentation Method to Quantify In Vitro Osteoclast Culture Endpoints ; volume:113 ; number:4 ; day:11 ; month:8 ; year:2023 ; pages:437-448 ; date:10.2023
Calcified tissue international ; 113, Heft 4 (11.8.2023), 437-448, 10.2023

Creator: Davies, Bethan K.
Hibbert, Andrew P.
Roberts, Scott J.
Roberts, Helen C.
Tickner, Jennifer C.
Holdsworth, Gill
Arnett, Timothy R.
Orriss, Isabel R.

Contributor: SpringerLink (Online service)

DOI: 10.1007/s00223-023-01121-z

URN: urn:nbn:de:101:1-2023121212270100222996

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

Last update: 15.08.2025, 7:30 AM CEST

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Davies, Bethan K.
Hibbert, Andrew P.
Roberts, Scott J.
Roberts, Helen C.
Tickner, Jennifer C.
Holdsworth, Gill
Arnett, Timothy R.
Orriss, Isabel R.
SpringerLink (Online service)

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A Machine Learning-Based Image Segmentation Method to Quantify In Vitro Osteoclast Culture Endpoints

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