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Dokumenttyp:
Konferenzbeitrag
Autor(en):
Laina, I.; Rieke, N.; Rupprecht, C.; Vizcaino, J. Page; Eslami, A.; Tombari, F.; Navab, N.
Titel:
Concurrent Segmentation and Localization for Tracking of Surgical Instruments
Abstract:
Instrument tracking is an essential requirement for various computer-assisted interventions. To overcome problems such as specular reflection and motion blur, we propose a novel method that takes advantage of the interdependency between localization and segmentation of the tool. In particular, we reformulate the 2D pose estimation as a heatmap regression and thereby enable a robust, concurrent regression of both tasks. Throughout experimental results, we demonstrate that this modeling leads t...     »
Stichworte:
CAMP,MICCAI,CAOP,deeplearning
Kongress- / Buchtitel:
International Conference on Medical Image Computing and Computer-Assisted Intervention 2017
Kongress / Zusatzinformationen:
The first two authors contributed equally to this paper
Ausrichter der Konferenz:
Springer
Jahr:
2017
Seiten:
664--672
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