Impact of Confounding Thoracic Tubes and Pleural Dehiscence Extent on Artificial Intelligence Pneumothorax Detection in Chest Radiographs-Reference-Cited by-同舟云学术

Impact of Confounding Thoracic Tubes and Pleural Dehiscence Extent on Artificial Intelligence Pneumothorax Detection in Chest Radiographs

Published:2020-07-16 Issue:12 Volume:55 Page:792-798
ISSN:1536-0210
Container-title:Investigative Radiology
language:en
Short-container-title:Invest Radiol

Author:

Rueckel Johannes,Trappmann Lena,Schachtner Balthasar,Wesp Philipp,Hoppe Boj Friedrich,Fink Nicola,Ricke Jens,Dinkel Julien,Ingrisch Michael,Sabel Bastian Oliver

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

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4. Deep learning for chest radiograph diagnosis: a retrospective comparison of the CheXNeXt algorithm to practicing radiologists;PLoS Med,2018

5. Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: a retrospective study;PLoS Med,2018

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