Microsurgical Instrument Detection Using Convolutional Neural Networks
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In this work, we propose intelligent instrument detection using Convolutional Neural Network (CNN) to augment microsurgical training. The network was trained on ...
The technique of recognizing musical instruments generally consists of three steps: signal preprocessing, acoustic feature extraction, and classifier ...
Microsurgical Instrument Detection Using Convolutional Neural ...
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Bibliographic details on Augmenting Microsurgical Training: Microsurgical Instrument Detection Using Convolutional Neural Networks.
Augmenting Microsurgical Training: Microsurgical Instrument Detection Using Convolutional Neural Networks. Julkaisuvuosi. 2018. Tekijät. Leppänen, Tomi ...
Augmenting Microsurgical Training: Microsurgical Instrument Detection Using Convolutional Neural Networks. Peer-reviewed. Open access. DOI.
Augmenting Microsurgical Training: Microsurgical Instrument Detection Using Convolutional Neural Networks pp. 211-216. Current State of Interoperability in ...
Real-time surgical instrument detection in robot-assisted surgery using a convolutional neural network cascade · Robust Real-Time Detection of Laparoscopic ...
This paper presents a novel densely-connected convolutional neural network, termed OctopusNet, for hierarchical classification of surgical tools.
In this work, we propose a method that detects and tracks the tip of tools used in microsurgical training. This method can be used to provide valuable ...
menting microsurgical training: Microsurgical instrument detection using convolutional neural networks. In 2018 IEEE 31st International Symposium on ...