Improvement of Deep Learning-based Auto-detection of Brain Metastases by Integrating previous MRI Images

Dörfler A, Huang Y, Bert C, Sommer P, Frey B, Gaipl U, Distel L, Weissmann T, Uder M, Schmidt M, Maier A, 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: S6-S6

Conference Proceedings Title: STRAHLENTHERAPIE UND ONKOLOGIE

Authors with CRIS profile

Arnd Dörfler Department of Neuroradiology Yixing Huang Department of Radiation Oncology Christoph Bert Professur für Med. Strahlenphysik Benjamin Frey Department of Radiation Oncology Udo Gaipl Department of Radiation Oncology Luitpold Distel Department of Radiation Oncology Thomas Weissmann Department of Radiation Oncology Michael Uder Lehrstuhl für Diagnostische Radiologie Manuel Schmidt Department of Neuroradiology Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung) Rainer Fietkau Lehrstuhl für Strahlentherapie Florian Putz Department of Radiation Oncology

How to cite

APA:

Dörfler, A., Huang, Y., Bert, C., Sommer, P., Frey, B., Gaipl, U.,... Putz, F. (2022). Improvement of Deep Learning-based Auto-detection of Brain Metastases by Integrating previous MRI Images. In STRAHLENTHERAPIE UND ONKOLOGIE (pp. S6-S6). HEIDELBERG: SPRINGER HEIDELBERG.

MLA:

Dörfler, Arnd, et al. "Improvement of Deep Learning-based Auto-detection of Brain Metastases by Integrating previous MRI Images." Proceedings of the STRAHLENTHERAPIE UND ONKOLOGIE HEIDELBERG: SPRINGER HEIDELBERG, 2022. S6-S6.

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