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Overcoming data scarcity in biomedical imaging with a foundational multi-task model.

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Bibliographic Details
Title:	Overcoming data scarcity in biomedical imaging with a foundational multi-task model.
Authors:	Schäfer R; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany., Nicke T; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany., Höfener H; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany., Lange A; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany., Merhof D; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany.; Institute of Image Analysis and Computer Vision, Faculty of Informatics and Data Science, University of Regensburg, Regensburg, Germany., Feuerhake F; Institute for Pathology, Hannover Medical School, Hanover, Germany.; Institute for Neuropathology, Medical Center, University of Freiburg, Freiburg, Germany., Schulz V; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany.; Institute for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany., Lotz J; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany. johannes.lotz@mevis.fraunhofer.de., Kiessling F; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany. fkiessling@ukaachen.de.; Institute for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany. fkiessling@ukaachen.de.
Source:	Nature computational science [Nat Comput Sci] 2024 Jul; Vol. 4 (7), pp. 495-509. Date of Electronic Publication: 2024 Jul 19.
Publication Type:	Journal Article; Research Support, Non-U.S. Gov't
Journal Info:	Publisher: Springer Nature Country of Publication: United States NLM ID: 101775476 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2662-8457 (Electronic) Linking ISSN: 26628457 NLM ISO Abbreviation: Nat Comput Sci Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	2662-8457
DOI:	10.1038/s43588-024-00662-z