A fully convolutional network with class activation maps reaches competitive accuracy for surgical skill classification and OSATS regression on JIGSAWS, while localizing motion segments that drive each prediction.
In: Artificial Intelli- gence in Medicine, pp 136–145
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Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
A fully convolutional network with class activation maps reaches competitive accuracy for surgical skill classification and OSATS regression on JIGSAWS, while localizing motion segments that drive each prediction.