Principles of artificial intelligence in radiooncology

Huang Y, Gomaa A, Höfler D, Schubert P, Gaipl U, Frey B, Fietkau R, Bert C, Putz F (2024)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2024

Journal

Strahlentherapie und Onkologie Urban & Vogel

Pages Range: 1-30

DOI: 10.1007/s00066-024-02272-0

Open Access Link: https://link.springer.com/article/10.1007/s00066-024-02272-0

Authors with CRIS profile

Yixing Huang Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Ahmed Gomaa Department of Radiation Oncology Daniel Höfler Department of Radiation Oncology Philipp Schubert Medizinische Fakultät Udo Gaipl Department of Radiation Oncology Benjamin Frey Department of Radiation Oncology Rainer Fietkau Lehrstuhl für Strahlentherapie Christoph Bert Professur für Med. Strahlenphysik Florian Putz Department of Radiation Oncology

How to cite

APA:

Huang, Y., Gomaa, A., Höfler, D., Schubert, P., Gaipl, U., Frey, B.,... Putz, F. (2024). Principles of artificial intelligence in radiooncology. Strahlentherapie und Onkologie, 1-30. https://doi.org/10.1007/s00066-024-02272-0

MLA:

Huang, Yixing, et al. "Principles of artificial intelligence in radiooncology." Strahlentherapie und Onkologie (2024): 1-30.

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