Fully Convolutional Mandible Segmentation on a valid Ground-Truth Dataset

Jan Egger, Birgit Pfarrkirchner, Christina Gsaxner, Lydia Lindner, Dieter Schmalstieg, Jürgen Wallner

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

Originalspracheenglisch
TitelProceedings IEEE Engineering in Medicine and Biology Conference (EMBC)
PublikationsstatusVeröffentlicht - 2018

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Egger, J., Pfarrkirchner, B., Gsaxner, C., Lindner, L., Schmalstieg, D., & Wallner, J. (2018). Fully Convolutional Mandible Segmentation on a valid Ground-Truth Dataset. in Proceedings IEEE Engineering in Medicine and Biology Conference (EMBC)

Fully Convolutional Mandible Segmentation on a valid Ground-Truth Dataset. / Egger, Jan; Pfarrkirchner, Birgit; Gsaxner, Christina; Lindner, Lydia; Schmalstieg, Dieter; Wallner, Jürgen.

Proceedings IEEE Engineering in Medicine and Biology Conference (EMBC). 2018.

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

Egger, J, Pfarrkirchner, B, Gsaxner, C, Lindner, L, Schmalstieg, D & Wallner, J 2018, Fully Convolutional Mandible Segmentation on a valid Ground-Truth Dataset. in Proceedings IEEE Engineering in Medicine and Biology Conference (EMBC).
Egger J, Pfarrkirchner B, Gsaxner C, Lindner L, Schmalstieg D, Wallner J. Fully Convolutional Mandible Segmentation on a valid Ground-Truth Dataset. in Proceedings IEEE Engineering in Medicine and Biology Conference (EMBC). 2018
Egger, Jan ; Pfarrkirchner, Birgit ; Gsaxner, Christina ; Lindner, Lydia ; Schmalstieg, Dieter ; Wallner, Jürgen. / Fully Convolutional Mandible Segmentation on a valid Ground-Truth Dataset. Proceedings IEEE Engineering in Medicine and Biology Conference (EMBC). 2018.
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