Air-tissue Boundary Segmentation in Real Time Magnetic Resonance Imaging Video Using a Convolutional Encoder-decoder Network

In this paper, we propose a convolutional encoder-decoder network (CEDN) based approach for upper and lower Air-Tissue Boundary (ATB) segmentation within vocal tract in real-time magnetic resonance imaging (rtMRI) video frames. The output images from CEDN are processed using perimeter and moving ave...

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Bibliographic Details

Published in:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 5941 - 5945
Main Authors:	Mannem, Renuka, Ghosh, Prasanta Kumar
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.05.2019
Subjects:	Adaptation models air-tissue boundary segmentation Atmospheric modeling Convolution convolutional encoder-decoder network dynamic time warping distance Image segmentation Magnetic resonance imaging Probability real-time magnetic resonance imaging video Real-time systems Speech processing Thresholding (Imaging) Videos
ISSN:	2379-190X
Online Access:	Get full text
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