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Hits 1 – 2 of 2
1
Comparison of auto-contouring and hand-contouring of ultrasound images of the tongue surface ...
Roon, Kevin D.
;
Chen, Wei-Rong
;
Iwasaki, Rion
. - : Taylor & Francis, 2022
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2
Comparison of auto-contouring and hand-contouring of ultrasound images of the tongue surface ...
Roon, Kevin D.
;
Chen, Wei-Rong
;
Iwasaki, Rion
;
Kang, Jaekoo
;
Kim, Boram
;
Shejaeya, Ghada
;
Tiede, Mark K.
;
Whalen, D. H.
. - : Taylor & Francis, 2022
Abstract:
Contours traced by trained phoneticians have been considered to be the most accurate way to identify the midsagittal tongue surface from ultrasound video frames. In this study, inter-measurer reliability was evaluated using measures that quantified both how closely human-placed contours approximated each other as well as how consistent measurers were in defining the start and end points of contours. High reliability across three measurers was found for all measures, consistent with treating contours placed by trained phoneticians as the ‘gold standard.’ However, due to the labour-intensive nature of hand-placing contours, automatic algorithms that detect the tongue surface are increasingly being used to extract tongue-surface data from ultrasound videos. Contours placed by six automatic algorithms (SLURP, EdgeTrak, EPCS, and three different configurations of the algorithm provided in Articulate Assistant Advanced) were compared to human-placed contours, with the same measures used to evaluate the consistency ...
Keyword:
39999 Chemical Sciences not elsewhere classified
;
59999 Environmental Sciences not elsewhere classified
;
69999 Biological Sciences not elsewhere classified
;
Cancer
;
FOS Biological sciences
;
FOS Chemical sciences
;
FOS Earth and related environmental sciences
;
FOS Sociology
;
Hematology
;
Pharmacology
;
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;
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URL:
https://tandf.figshare.com/articles/journal_contribution/Comparison_of_auto-contouring_and_hand-contouring_of_ultrasound_images_of_the_tongue_surface/17714889/1
https://dx.doi.org/10.6084/m9.figshare.17714889.v1
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