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Automated detection of enteric tubes misplaced in the respiratory tract on chest radiographs using deep learning with two centre validation

Autor: D H, Mallon, C D, McNamara, G S, Rahmani, D P, O'Regan, D G, Amiras

Publikováno v: e764
e758

AIM: To develop and test a model based on a convolutional neural network that can identify enteric tube position accurately on chest radiography. MATERIALS AND METHODS: The chest radiographs of adult patients were classified by radiologists based on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01d6425aca81dc35c3d5aa8b6625f6d3
https://doi.org/10.1016/j.crad.2022.06.011

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