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Preliminary Study on Intervertebral Disk Segmentation from Videofluorography by Multi Channelization and CNN
Proceedings of The 7th International Conference on Intelligent Systems and Image Processing 2019
Dysphagia has a large impact on individual patients and the society. However, the whole mechanism has not been analyzed. In order to understand dysphagia, it is essential to describe the anatomical features of cervical structures during swallowing. This study aims to segment cervical intervertebral disks (IDs) in videofluorography (VF) by multi channelization (MC) and convolutional neural network (CNN). The frame images of VF are gray-scale images. In the MC process, feature images aredoi:10.12792/icisip2019.050 fatcat:zvo3eltupffttnnhg3adn6hwne