Sadafi, Ario; Koehler, Niklas; Makhro, Asya; Bogdanova, Anna; Navab, Nassir; Marr, Carsten; Peng, Tingying (2019). Multiclass deep active learning for detecting red blood cell subtypes in brightfield microscopy. In: Sadafi, Ario; Koehler, Niklas; Makhro, Asya; Bogdanova, Anna; Navab, Nassir; Marr, Carsten; Peng, Tingying. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Springer Verlag: Springer, 685-693.
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Item Type: | Book Section, refereed, original work |
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Communities & Collections: | 04 Faculty of Medicine > Center for Integrative Human Physiology
05 Vetsuisse Faculty > Institute of Veterinary Physiology |
Dewey Decimal Classification: | 570 Life sciences; biology |
Scopus Subject Areas: | Physical Sciences > Theoretical Computer Science
Physical Sciences > General Computer Science |
Language: | English |
Date: | 1 January 2019 |
Deposited On: | 07 Jan 2020 16:08 |
Last Modified: | 26 Jan 2022 23:37 |
Publisher: | Springer |
Series Name: | Lecture Notes in Computer Science |
Number: | 11764 |
ISSN: | 0302-9743 |
ISBN: | 978-3-030-32238-0 |
OA Status: | Closed |
Publisher DOI: | https://doi.org/10.1007/978-3-030-32239-7_76 |
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Permanent URL: https://doi.org/10.5167/uzh-179197
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Authors, Affiliations, Collaborations
Helmholtz Center Munich German Research Center for Environmental Health, Neuherberg, Germany
Technical University of Munich, Munich, Germany
Arivis AG, Munich, Germany
Technical University of Munich, Munich, Germany
Arivis AG, Munich, Germany
Helmholtz Center Munich German Research Center for Environmental Health, Neuherberg, Germany
University of Zurich, Zurich, Switzerland
University of Zurich, Zurich, Switzerland
Technical University of Munich, Munich, Germany
Johns Hopkins University, Baltimore, United States
Johns Hopkins University, Baltimore, United States

Helmholtz Center Munich German Research Center for Environmental Health, Neuherberg, Germany
Helmholtz Center Munich German Research Center for Environmental Health, Neuherberg, Germany
Technical University of Munich, Munich, Germany
Technical University of Munich, Munich, Germany
Source of ORCID ID: Import from Crossref