Published November 30, 2020
| Version 1.1
Software
Open
Automated detection of enteric tubes misplaced in the respiratory tract on chest radiographs using deep learning with international validation.
Description
Code for the development of a deep learning model for the classification of critically misplaced enteric tubes on chest radiography.
Files
Files
(45.3 MB)
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md5:c1c2e6115f80343bf0650bd91caee144
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4.2 kB | Download |
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md5:42feecddc25259c82d06c8e674c52cc2
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45.3 MB | Download |
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md5:00bf6c520baa74d95244dd8b978a8080
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1.5 kB | Download |
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md5:89da4dbf6516f7ec61ad824622c9113c
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251 Bytes | Download |
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md5:d1766151584c8fe216276d4277dda72f
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1.1 kB | Download |
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md5:6b076c2257e50832fe0787ec904c7918
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1.9 kB | Download |
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md5:37832ae70294c75d633b87be7b105006
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1.7 kB | Download |
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md5:25daa5eaccc636eef6253b7a4e9f47be
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1.1 kB | Download |
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md5:73e5c9201ce65aa77a019b9b36fd9a3d
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506 Bytes | Download |
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md5:05865a5b8b13dff90a09a6ae29085f20
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3.9 kB | Download |
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md5:f272ceba452114ec058773b56584afbb
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1.2 kB | Download |
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md5:92fd738e8bf1174ebd4be082c2faf11e
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2.0 kB | Download |
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md5:d94d051ec69719ff8791a481d327ec9a
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1.5 kB | Download |
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md5:0922dcbb797c4267409569afc3045cfd
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1.6 kB | Download |
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md5:fb0ee3ffaf846ab684daf4a628efde5a
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2.2 kB | Download |