Multicenter privacy-preserving model training for deep learning brain metastases autosegmentation

Huang Y, Khodabakhshi Z, Gomaa A, Schmidt M, Fietkau R, Guckenberger M, Andratschke N, Bert C, Tanadini-Lang S, Putz F (2024)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2024

Journal

Radiotherapy and Oncology Elsevier

Pages Range: 1-10

DOI: 10.1016/j.radonc.2024.110410

Open Access Link: https://doi.org/10.1016/j.radonc.2024.110419

Authors with CRIS profile

Yixing Huang Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Ahmed Gomaa Lehrstuhl für Strahlentherapie Manuel Schmidt Neuroradiologisches Institut Rainer Fietkau Lehrstuhl für Strahlentherapie Christoph Bert Professur für Med. Strahlenphysik Florian Putz Department of Radiation Oncology

Involved external institutions

Universitätsspital Zürich (USZ) CH Switzerland (CH)

How to cite

APA:

Huang, Y., Khodabakhshi, Z., Gomaa, A., Schmidt, M., Fietkau, R., Guckenberger, M.,... Putz, F. (2024). Multicenter privacy-preserving model training for deep learning brain metastases autosegmentation. Radiotherapy and Oncology, 1-10. https://doi.org/10.1016/j.radonc.2024.110410

MLA:

Huang, Yixing, et al. "Multicenter privacy-preserving model training for deep learning brain metastases autosegmentation." Radiotherapy and Oncology (2024): 1-10.

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