Assessing Organ-at-risk Auto-contouring Solutions: Which Metrics are most predictive of clinical Time Savings?

Putz F, Huang Y, Weissmann T, Mansoorian S, Lamrani A, Sommer P, Fischer S, Srinivasan A, Frey B, Gaipl U, Ott O, Fietkau R, Bert C (2022)

Publication Type: Conference contribution

Publication year: 2022

Journal

Strahlentherapie und Onkologie Urban & Vogel

Publisher: SPRINGER HEIDELBERG

City/Town: HEIDELBERG

Pages Range: S67-S68

Conference Proceedings Title: STRAHLENTHERAPIE UND ONKOLOGIE

Authors with CRIS profile

Florian Putz Department of Radiation Oncology Yixing Huang Department of Radiation Oncology Thomas Weissmann Department of Radiation Oncology Sina Mansoorian Department of Radiation Oncology Allison Lamrani Department of Radiation Oncology Benjamin Frey Department of Radiation Oncology Udo Gaipl Department of Radiation Oncology Oliver Ott Medizinische Fakultät Rainer Fietkau Lehrstuhl für Strahlentherapie Christoph Bert Professur für Med. Strahlenphysik

How to cite

APA:

Putz, F., Huang, Y., Weissmann, T., Mansoorian, S., Lamrani, A., Sommer, P.,... Bert, C. (2022). Assessing Organ-at-risk Auto-contouring Solutions: Which Metrics are most predictive of clinical Time Savings? In STRAHLENTHERAPIE UND ONKOLOGIE (pp. S67-S68). HEIDELBERG: SPRINGER HEIDELBERG.

MLA:

Putz, Florian, et al. "Assessing Organ-at-risk Auto-contouring Solutions: Which Metrics are most predictive of clinical Time Savings?" Proceedings of the STRAHLENTHERAPIE UND ONKOLOGIE HEIDELBERG: SPRINGER HEIDELBERG, 2022. S67-S68.

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