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Tracking-by-detection of surgical instruments in minimally invasive surgery via the convolutional neural network deep learning-based method

PaperCitations, authors & open-access status

Tracking-by-detection of surgical instruments in minimally invasive surgery via the convolutional neural network deep learning-based method is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 56 citations, 2017 year and gold oa status.

56
Citations
2017
Year
gold
OA Status

Related on ScholarIQ

Ying Weng
Author
Soft Robotics and Applications
Topic
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Topic
Surgical Simulation and Training
Topic
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