High Detection Accuracy of an optimized 3D Convolutional Neural Network for Auto Detection and Auto Segmentation of Brain Metastases

Putz F, Weissmann T, Mansoorian S, Schmitter C, Semrau S, Lettmaier S, Masitho S, Grigo J, Schmidt M, Heiß R, Frey B, Bert C, Fietkau R (2021)

Publication Type: Conference contribution

Publication year: 2021

Journal

Strahlentherapie und Onkologie Urban & Vogel

Publisher: SPRINGER HEIDELBERG

City/Town: HEIDELBERG

Pages Range: S50-S51

Conference Proceedings Title: STRAHLENTHERAPIE UND ONKOLOGIE

Authors with CRIS profile

Florian Putz Department of Radiation Oncology Thomas Weissmann Department of Radiation Oncology Sina Mansoorian Department of Radiation Oncology Charlotte Schmitter Department of Radiation Oncology Sabine Semrau Medizinische Fakultät Siti Masitho Department of Radiation Oncology Johanna Grigo Department of Radiation Oncology Manuel Schmidt Department of Neuroradiology Rafael Heiß Institute of Radiology Benjamin Frey Department of Radiation Oncology Christoph Bert Professur für Med. Strahlenphysik Rainer Fietkau Lehrstuhl für Strahlentherapie

How to cite

APA:

Putz, F., Weissmann, T., Mansoorian, S., Schmitter, C., Semrau, S., Lettmaier, S.,... Fietkau, R. (2021). High Detection Accuracy of an optimized 3D Convolutional Neural Network for Auto Detection and Auto Segmentation of Brain Metastases. In STRAHLENTHERAPIE UND ONKOLOGIE (pp. S50-S51). HEIDELBERG: SPRINGER HEIDELBERG.

MLA:

Putz, Florian, et al. "High Detection Accuracy of an optimized 3D Convolutional Neural Network for Auto Detection and Auto Segmentation of Brain Metastases." Proceedings of the STRAHLENTHERAPIE UND ONKOLOGIE HEIDELBERG: SPRINGER HEIDELBERG, 2021. S50-S51.

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