Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearch

Standard

Learning from Imperfect Data : Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging. / de Bruijne, Marleen.

Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Springer, 2021. p. 1.

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearch

Harvard

de Bruijne, M 2021, Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging. in Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Springer, pp. 1, German Workshop on Medical Image Computing, 2021, Regensburg, Germany, 07/03/2021. https://doi.org/10.1007/978-3-658-33198-6_1

APA

de Bruijne, M. (2021). Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging. In Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021 (pp. 1). Springer. https://doi.org/10.1007/978-3-658-33198-6_1

Vancouver

de Bruijne M. Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging. In Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Springer. 2021. p. 1 https://doi.org/10.1007/978-3-658-33198-6_1

Author

de Bruijne, Marleen. / Learning from Imperfect Data : Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging. Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Springer, 2021. pp. 1

Bibtex

@inbook{f22fd9ef788644ac8c0b1be1223062ab,
title = "Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging",
author = "{de Bruijne}, Marleen",
year = "2021",
doi = "10.1007/978-3-658-33198-6_1",
language = "English",
pages = "1",
booktitle = "Bildverarbeitung f{\"u}r die Medizin 2021",
publisher = "Springer",
address = "Switzerland",
note = "German Workshop on Medical Image Computing, 2021 ; Conference date: 07-03-2021 Through 09-03-2021",

}

RIS

TY - ABST

T1 - Learning from Imperfect Data

T2 - German Workshop on Medical Image Computing, 2021

AU - de Bruijne, Marleen

PY - 2021

Y1 - 2021

UR - http://www.scopus.com/inward/record.url?scp=85103304826&partnerID=8YFLogxK

U2 - 10.1007/978-3-658-33198-6_1

DO - 10.1007/978-3-658-33198-6_1

M3 - Conference abstract in proceedings

AN - SCOPUS:85103304826

SP - 1

BT - Bildverarbeitung für die Medizin 2021

PB - Springer

Y2 - 7 March 2021 through 9 March 2021

ER -

ID: 287704812