Analysis of Head and Neck Lymph Node Metastasis Distribution by using Deep Learning automated Lymph Node Level Contouring

Weissmann T, Huang Y, Speer S, Semrau S, Bert C, Fietkau R, Putz F (2022)

Publication Type: Conference contribution

Publication year: 2022

Journal

Strahlentherapie und Onkologie Urban & Vogel

Publisher: SPRINGER HEIDELBERG

City/Town: HEIDELBERG

Pages Range: S53-S53

Conference Proceedings Title: STRAHLENTHERAPIE UND ONKOLOGIE

Authors with CRIS profile

Thomas Weissmann Department of Radiation Oncology Yixing Huang Department of Radiation Oncology Stefan Speer Department of Radiation Oncology Sabine Semrau Medizinische Fakultät Christoph Bert Professur für Med. Strahlenphysik Rainer Fietkau Lehrstuhl für Strahlentherapie Florian Putz Department of Radiation Oncology

How to cite

APA:

Weissmann, T., Huang, Y., Speer, S., Semrau, S., Bert, C., Fietkau, R., & Putz, F. (2022). Analysis of Head and Neck Lymph Node Metastasis Distribution by using Deep Learning automated Lymph Node Level Contouring. In STRAHLENTHERAPIE UND ONKOLOGIE (pp. S53-S53). HEIDELBERG: SPRINGER HEIDELBERG.

MLA:

Weissmann, Thomas, et al. "Analysis of Head and Neck Lymph Node Metastasis Distribution by using Deep Learning automated Lymph Node Level Contouring." Proceedings of the STRAHLENTHERAPIE UND ONKOLOGIE HEIDELBERG: SPRINGER HEIDELBERG, 2022. S53-S53.

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