Home /Research /A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation
LEARNING

A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation

Max-Heinrich Laves, Jens Bicker, Lüder A. Kahrs, Tobias Ortmaier

Year
2019
Citations
108

Keywords

Artificial intelligenceComputer scienceSegmentationConvolutional neural networkPattern recognition (psychology)Image segmentationMetric (unit)InferenceGround truthDeep learning

Related papers

Browse all LEARNING papers