Towards Automatic Abdominal Multi-Organ Segmentation in Dual Energy CT using Cascaded 3D Fully Convolutional Network

Chen S, Roth H, Dorn S, May M, Lell M, Kachelriess M, Oda H, Mori K, Maier A, Cavallaro AJ (2018)

Publication Type: Conference contribution

Publication year: 2018

Pages Range: 395-398

Conference Proceedings Title: the fifth edition of The International Conference on Image Formation in X-ray Computed Tomography

Event location: Salt lake city, US

URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Chen18-TAA.pdf

Authors with CRIS profile

Shuqing Chen Lehrstuhl für Informatik 5 (Mustererkennung) Matthias May Institute of Radiology Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung) Alexander Josef Cavallaro Institute of Radiology

Involved external institutions

Deutsches Krebsforschungszentrum (DKFZ) DE Germany (DE) Nagoya University / 名古屋大学 JP Japan (JP) Klinikum Nürnberg DE Germany (DE)

How to cite

APA:

Chen, S., Roth, H., Dorn, S., May, M., Lell, M., Kachelriess, M.,... Cavallaro, A.J. (2018). Towards Automatic Abdominal Multi-Organ Segmentation in Dual Energy CT using Cascaded 3D Fully Convolutional Network. In the fifth edition of The International Conference on Image Formation in X-ray Computed Tomography (pp. 395-398). Salt lake city, US.

MLA:

Chen, Shuqing, et al. "Towards Automatic Abdominal Multi-Organ Segmentation in Dual Energy CT using Cascaded 3D Fully Convolutional Network." Proceedings of the the fifth edition of The International Conference on Image Formation in X-ray Computed Tomography, Salt lake city, US 2018. 395-398.

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