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Found 3 papers, 2 papers with code
Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation
Motivated by alleviating this workload, we propose a general embeddable method to decrease the usage of labeled real images, using active generated synthetic images.
Real-time Data Driven Precision Estimator for RAVEN-II Surgical Robot End Effector Position
Surgical robots have been introduced to operating rooms over the past few decades due to their high sensitivity, small size, and remote controllability.
2017 Robotic Instrument Segmentation Challenge
In mainstream computer vision and machine learning, public datasets such as ImageNet, COCO and KITTI have helped drive enormous improvements by enabling researchers to understand the strengths and limitations of different algorithms via performance comparison.
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