Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network

Adhish Prasoon; Peter Kersten Petersen; Christian Igel; Francois Bernard Lauze; Erik Bjørnager Dam; Mads Nielsen

doi:10.1007/978-3-642-40763-5_31

Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network

Adhish Prasoon
, Peter Kersten Petersen
, Christian Igel
, Francois Bernard Lauze
, Erik Bjørnager Dam
, Mads Nielsen

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013 : 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II
Editors	Kensaku Mori, Ichiro Sakuma, Yoshinobu Sato, Christian Barillot, Nassir Navab
Number of pages	8
Publisher	Springer
Publication date	2013
Pages	246-253
ISBN (Print)	978-3-642-40762-8
ISBN (Electronic)	978-3-642-40763-5
DOIs	https://doi.org/10.1007/978-3-642-40763-5_31
Publication status	Published - 2013
Event	International Conference - MICCAI 2013 - Nagoya, Japan Duration: 22 Sept 2013 → 26 Sept 2013 Conference number: 16

Conference

Conference	International Conference - MICCAI 2013
Number	16
Country/Territory	Japan
City	Nagoya
Period	22/09/2013 → 26/09/2013

Series	Lecture notes in computer science
Volume	8150
ISSN	0302-9743

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10.1007/978-3-642-40763-5_31

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Cite this

Prasoon, A., Petersen, P. K., Igel, C., Lauze, F. B., Dam, E. B., & Nielsen, M. (2013). Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network. In K. Mori, I. Sakuma, Y. Sato, C. Barillot, & N. Navab (Eds.), Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II (pp. 246-253). Springer. https://doi.org/10.1007/978-3-642-40763-5_31

Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network. / Prasoon, Adhish; Petersen, Peter Kersten; Igel, Christian et al.
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. ed. / Kensaku Mori; Ichiro Sakuma; Yoshinobu Sato; Christian Barillot; Nassir Navab. Springer, 2013. p. 246-253 (Lecture notes in computer science, Vol. 8150).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Prasoon, A, Petersen, PK, Igel, C , Lauze, FB , Dam, EB & Nielsen, M 2013, Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network. in K Mori, I Sakuma, Y Sato, C Barillot & N Navab (eds), Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. Springer, Lecture notes in computer science, vol. 8150, pp. 246-253, International Conference - MICCAI 2013, Nagoya, Japan, 22/09/2013. https://doi.org/10.1007/978-3-642-40763-5_31

Prasoon A, Petersen PK, Igel C , Lauze FB , Dam EB , Nielsen M. Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network. In Mori K, Sakuma I, Sato Y, Barillot C, Navab N, editors, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. Springer. 2013. p. 246-253. (Lecture notes in computer science, Vol. 8150). doi: 10.1007/978-3-642-40763-5_31

Prasoon, Adhish ; Petersen, Peter Kersten ; Igel, Christian et al. / Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. editor / Kensaku Mori ; Ichiro Sakuma ; Yoshinobu Sato ; Christian Barillot ; Nassir Navab. Springer, 2013. pp. 246-253 (Lecture notes in computer science, Vol. 8150).

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