Automatic Tongue Delineation from MRI Images with a Convolutional Neural Network Approach

Karyna Isaieva, Yves Laprie, Nicolas Turpault, Alexis Houssard, Jacques Felblinger +1 more
12/6/2024
cs.AI

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Abstract

Tongue contour extraction from real-time magnetic resonance images is a nontrivial task due to the presence of artifacts manifesting in form of blurring or ghostly contours. In this work, we present results of automatic tongue delineation achieved by means of U-Net auto-encoder convolutional neural network. We present both intra- and inter-subject validation. We used real-time magnetic resonance images and manually annotated 1-pixel wide contours as inputs. Predicted probability maps were post-processed in order to obtain 1-pixel wide tongue contours. The results are very good and slightly outperform published results on automatic tongue segmentation.

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Cite this paper

@article{isaieva2024automatic,
  title  = {Automatic Tongue Delineation from MRI Images with a Convolutional Neural Network Approach},
  author = {Karyna Isaieva and Yves Laprie and Nicolas Turpault and Alexis Houssard and Jacques Felblinger and Pierre-André Vuissoz},
  year   = {2024},
  eprint = {2412.04893},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2412.04893v1}
}

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