no code implementations • 25 Jul 2017 • Marc Aubreville, Miguel Goncalves, Christian Knipfer, Nicolai Oetter, Tobias Wuerfl, Helmut Neumann, Florian Stelzle, Christopher Bohr, Andreas Maier
We find that the network trained on the oral cavity data reaches an accuracy of 89. 45% and an area-under-the-curve (AUC) value of 0. 955, when applied on the vocal cords data.
