Deep Convolutional Neural Networks for Endotracheal Tube Position and X-ray Image Classification: Challenges and Opportunities
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
http://link.springer.com/article/10.1007/s10278-017-9980-7/fulltext.html
Reference23 articles.
1. Goodman LR, Conrardy PA, Laing F, Singer MM: Radiographic evaluation of endotracheal tube position. Am J Roentgenol 127(3):433–4,1976
2. Brunel W, Coleman DL, Schwartz DE, Peper E, Cohen NH: Assessment of routine chest roentgenograms and the physical examination to confirm endotracheal tube position. Chest 96(5):1043–5,1989
3. Zwillich CW, Pierson DJ, Creagh CE, Sutton FD, Schatz E, Petty TL: Complications of assisted ventilation: a prospective study of 354 consecutive episodes. Am J Med 57(2):161–70,1974
4. Ramakrishna B, Brown M, Goldin J, Cagnon C, Enzmann D: An improved automatic computer aided tube detection and labeling system on chest radiographs. Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 83150R (February 23, 2012); doi: 10.1117/12.911839
5. Kao EF, Jaw TS, Li CW, Chou MC, Liu GC: Automated detection of endotracheal tubes in paediatric chest radiographs. Comput Methods Prog Biomed 118(1):1–10,2015
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