Articulated Multi-Instrument 2D Pose Estimation Using Fully Convolutional Networks

Du, Xiaofei; Kurmann, Thomas Kevin; Chang, Ping-Lin; Allan, Maximillian; Ourselin, Sebastian; Sznitman, Raphael; Kelly, John; Stoyanov, Danail (2018). Articulated Multi-Instrument 2D Pose Estimation Using Fully Convolutional Networks. IEEE transactions on medical imaging, 37(5), pp. 1276-1287. Institute of Electrical and Electronics Engineers IEEE 10.1109/TMI.2017.2787672

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Item Type:

Journal Article (Original Article)

Division/Institute:

10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Image Guided Therapy > ARTORG Center - Ophthalmic Technology Lab

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Kurmann, Thomas Kevin and Sznitman, Raphael

Subjects:

600 Technology
600 Technology > 610 Medicine & health
600 Technology > 620 Engineering

ISSN:

0278-0062

Publisher:

Institute of Electrical and Electronics Engineers IEEE

Language:

English

Submitter:

Raphael Sznitman

Date Deposited:

11 Apr 2018 10:43

Last Modified:

06 May 2018 02:17

Publisher DOI:

10.1109/TMI.2017.2787672

BORIS DOI:

10.7892/boris.108439

URI:

https://boris.unibe.ch/id/eprint/108439

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