Bridging the gap between formal and experience-based knowledge for context-aware laparoscopy.

about

Tissue classification for laparoscopic image understanding based on multispectral texture analysis.Surgical data science: The new knowledge domain.

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Bridging the gap between formal and experience-based knowledge for context-aware laparoscopy.

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description

2016 nî lūn-bûn

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2016年の論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年论文

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2016年论文

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2016年论文

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name

Bridging the gap between forma ...... for context-aware laparoscopy.

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Bridging the gap between forma ...... for context-aware laparoscopy.

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Bridging the gap between forma ...... for context-aware laparoscopy.

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P1476

Bridging the gap between forma ...... for context-aware laparoscopy.

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Anna-Laura Wekerle

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Beat Peter Müller-Stich

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Darko Katić

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Hannes Kenngott

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Jürgen Schuck

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Rüdiger Dillmann

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Stefanie Speidel

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P2860

Random Forests

Validation of knowledge acquisition for surgical process models.

Automatic knowledge-based recognition of low-level tasks in ophthalmological procedures.

Analysis of surgical intervention populations using generic surgical process models.

On mixed reality environments for minimally invasive therapy guidance: systems architecture, successes and challenges in their implementation from laboratory to clinic.

Intraoperative multichannel audio-visual information recording and automatic surgical phase and incident detection.

Surgical process modelling: a review.

LapOntoSPM: an ontology for laparoscopic surgeries and its application to surgical phase recognition.

Modeling surgical processes: a four-level translational approach.

An observation support system with an adaptive ontology-driven user interface for the modeling of complex behaviors during surgical interventions.

P2888

s11548-016-1379-2

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881-888

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scholarly article

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10.1007/S11548-016-1379-2

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2016-03-30T00:00:00Z

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laparoscopy

Bridging the gap between formal and experience-based knowledge for context-aware laparoscopy.

about

P2860

P2860

Bridging the gap between formal and experience-based knowledge for context-aware laparoscopy.

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