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

Marleen de Bruijne

doi:10.1007/978-3-658-33198-6_1

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

Marleen de Bruijne^*

^*Corresponding author for this work

Radiology & Nuclear Medicine

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

Original language	English
Title of host publication	Bildverarbeitung für die Medizin 2021 - Proceedings, German Workshop on Medical Image Computing, 2021
Editors	Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff
Publisher	Springer Science+Business Media
Pages	1
Number of pages	1
ISBN (Print)	9783658331979
DOIs	https://doi.org/10.1007/978-3-658-33198-6_1
Publication status	Published - 2021
Event	German Workshop on Medical Image Computing, 2021 - Regensburg, Germany Duration: 7 Mar 2021 → 9 Mar 2021

Publication series

Series	Informatik aktuell
ISSN	1431-472X

Conference

Conference	German Workshop on Medical Image Computing, 2021
Country/Territory	Germany
City	Regensburg
Period	7/03/21 → 9/03/21

Access to Document

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

Cite this

de Bruijne, M. (2021). Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging. In C. Palm, H. Handels, K. Maier-Hein, T. M. Deserno, A. Maier, & T. Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2021 - Proceedings, German Workshop on Medical Image Computing, 2021 (pp. 1). Springer Science+Business Media. https://doi.org/10.1007/978-3-658-33198-6_1

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, 2021. editor / Christoph Palm ; Heinz Handels ; Klaus Maier-Hein ; Thomas M. Deserno ; Andreas Maier ; Thomas Tolxdorff. Springer Science+Business Media, 2021. pp. 1 (Informatik aktuell).

@inproceedings{46442994425944688de301a3d049e7f3,

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",

isbn = "9783658331979",

series = "Informatik aktuell",

pages = "1",

editor = "Christoph Palm and Heinz Handels and Klaus Maier-Hein and Deserno, {Thomas M.} and Andreas Maier and Thomas Tolxdorff",

booktitle = "Bildverarbeitung f{\"u}r die Medizin 2021 - Proceedings, German Workshop on Medical Image Computing, 2021",

publisher = "Springer Science+Business Media",

address = "Germany",

note = "German Workshop on Medical Image Computing, 2021 ; Conference date: 07-03-2021 Through 09-03-2021",

}

de Bruijne, M 2021, Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging. in C Palm, H Handels, K Maier-Hein, TM Deserno, A Maier & T Tolxdorff (eds), Bildverarbeitung für die Medizin 2021 - Proceedings, German Workshop on Medical Image Computing, 2021. Springer Science+Business Media, Informatik aktuell, pp. 1, German Workshop on Medical Image Computing, 2021, Regensburg, Germany, 7/03/21. https://doi.org/10.1007/978-3-658-33198-6_1

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, 2021. ed. / Christoph Palm; Heinz Handels; Klaus Maier-Hein; Thomas M. Deserno; Andreas Maier; Thomas Tolxdorff. Springer Science+Business Media, 2021. p. 1 (Informatik aktuell).

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

TY - GEN

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 proceeding

AN - SCOPUS:85103304826

SN - 9783658331979

T3 - Informatik aktuell

SP - 1

BT - Bildverarbeitung für die Medizin 2021 - Proceedings, German Workshop on Medical Image Computing, 2021

A2 - Palm, Christoph

A2 - Handels, Heinz

A2 - Maier-Hein, Klaus

A2 - Deserno, Thomas M.

A2 - Maier, Andreas

A2 - Tolxdorff, Thomas

PB - Springer Science+Business Media

Y2 - 7 March 2021 through 9 March 2021

ER -

de Bruijne M. Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging. In Palm C, Handels H, Maier-Hein K, Deserno TM, Maier A, Tolxdorff T, editors, Bildverarbeitung für die Medizin 2021 - Proceedings, German Workshop on Medical Image Computing, 2021. Springer Science+Business Media. 2021. p. 1. (Informatik aktuell). doi: 10.1007/978-3-658-33198-6_1

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

Publication series

Conference

Access to Document

Other files and links

Cite this