Automatic Detection of the Pharyngeal Phase in Raw Videos for the Videofluoroscopic Swallowing Study Using Efficient Data Collection and 3D Convolutional Networks.
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%0 Journal Article
%1 journals/sensors/LeePJ19
%A Lee, Jong Taek
%A Park, Eunhee
%A Jung, Tae-Du
%D 2019
%J Sensors
%K dblp
%N 18
%P 3873
%T Automatic Detection of the Pharyngeal Phase in Raw Videos for the Videofluoroscopic Swallowing Study Using Efficient Data Collection and 3D Convolutional Networks.
%U http://dblp.uni-trier.de/db/journals/sensors/sensors19.html#LeePJ19
%V 19
@article{journals/sensors/LeePJ19,
added-at = {2023-02-16T00:00:00.000+0100},
author = {Lee, Jong Taek and Park, Eunhee and Jung, Tae-Du},
biburl = {https://www.bibsonomy.org/bibtex/225dc9b471301634cb2fced5b00d80c1b/dblp},
ee = {https://www.wikidata.org/entity/Q89996186},
interhash = {b75458074152aa2b55a85ca3ac719b5a},
intrahash = {25dc9b471301634cb2fced5b00d80c1b},
journal = {Sensors},
keywords = {dblp},
number = 18,
pages = 3873,
timestamp = {2024-04-09T04:32:29.000+0200},
title = {Automatic Detection of the Pharyngeal Phase in Raw Videos for the Videofluoroscopic Swallowing Study Using Efficient Data Collection and 3D Convolutional Networks.},
url = {http://dblp.uni-trier.de/db/journals/sensors/sensors19.html#LeePJ19},
volume = 19,
year = 2019
}
