Domain Adaptation for Deviating Acquisition Protocols in CNN-Based Lesion Classification on Diffusion-Weighted MR Images

Kamphenkel J, Jaeger PF, Bickelhaupt S, Lederer W, Daniel H, Kuder TA, Delorme S, Schlemmer HP, Koenig F, Maier-Hein KH, Laun FB (2018)

Publication Type: Conference contribution

Publication year: 2018

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: SPRINGER INTERNATIONAL PUBLISHING AG

City/Town: CHAM

Pages Range: 73-80

Conference Proceedings Title: IMAGE ANALYSIS FOR MOVING ORGAN, BREAST, AND THORACIC IMAGES

Event location: Granada, SPAIN

DOI: 10.1007/978-3-030-00946-5_8

Authors with CRIS profile

Frederik Bernd Laun Professur für quantitative MR-Bildgebung (Heisenberg-Professur)

Involved external institutions

Deutsches Krebsforschungszentrum (DKFZ) DE Germany (DE) RadiologieZentrum Mannheim DE Germany (DE) ATOS-Praxisklinik Heidelberg DE Germany (DE)

How to cite

APA:

Kamphenkel, J., Jaeger, P.F., Bickelhaupt, S., Lederer, W., Daniel, H., Kuder, T.A.,... Laun, F.B. (2018). Domain Adaptation for Deviating Acquisition Protocols in CNN-Based Lesion Classification on Diffusion-Weighted MR Images. In IMAGE ANALYSIS FOR MOVING ORGAN, BREAST, AND THORACIC IMAGES (pp. 73-80). Granada, SPAIN: CHAM: SPRINGER INTERNATIONAL PUBLISHING AG.

MLA:

Kamphenkel, Jennifer, et al. "Domain Adaptation for Deviating Acquisition Protocols in CNN-Based Lesion Classification on Diffusion-Weighted MR Images." Proceedings of the 3rd International Workshop on Reconstruction and Analysis of Moving Body Organs (RAMBO) / 4th International Workshop on Breast Image Analysis (BIA) / 1st International Workshop on Thoracic Image Analysis (TIA), Granada, SPAIN CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2018. 73-80.

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