Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset-Reference-Cited by-同舟云学术

Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset

Published:2019-11-25 Issue:2 Volume:33 Page:490-496
ISSN:0897-1889
Container-title:Journal of Digital Imaging
language:en
Short-container-title:J Digit Imaging

Author:

Filice Ross W.^ORCID,Stein Anouk,Wu Carol C.,Arteaga Veronica A.,Borstelmann Stephen,Gaddikeri Ramya,Galperin-Aizenberg Maya,Gill Ritu R.,Godoy Myrna C.,Hobbs Stephen B.,Jeudy Jean,Lakhani Paras C.,Laroia Archana,Nayak Sundeep M.,Parekh Maansi R.,Prasanna Prasanth,Shah Palmi,Vummidi Dharshan,Yaddanapudi Kavitha,Shih George

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/content/pdf/10.1007/s10278-019-00299-9.pdf

Reference16 articles.

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3. Onuki T, Ueda S, Yamaoka M, Sekiya Y, Yamada H, Kawakami N, Araki Y, Wakai Y, Saito K, Inagaki M, Matsumiya N. Primary and secondary spontaneous pneumothorax: prevalence, clinical features, and in-hospital mortality. Can Respir J. 2017

4. Lakhani P, Prater AB, Hutson RK, Andriole KP, Dreyer KJ, Morey J, Prevedello LM, Clark TJ, Geis JR, Itri JN, Hawkins CM: Machine learning in radiology: applications beyond image interpretation. J Am Coll Radiol 15(2):350–359, 2018 Feb

5. Russakovsky O, Deng J, Su H, Krause J, Satheesh S, Ma S, Huang Z, Karpathy A, Khosla A, Bernstein M, Berg AC, Fei-Fei L. ImageNet large scale visual recognition challenge. arXiv:1409.0575v3 [cs.CV] 30 Jan 2015.

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