A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation

1 code implementation • 16 Jul 2018 • Max-Heinrich Laves, Jens Bicker, Lüder A. Kahrs, Tobias Ortmaier

Methods Four machine learning based methods SegNet, UNet, ENet and ErfNet were trained with supervision on a novel 7-class dataset of the human larynx.

Data Augmentation Medical Image Segmentation +2