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

Pneumothorax is a potentially life-threatening condition that requires prompt recognition and often urgent intervention. In the ICU setting, large numbers of chest radiographs are performed and must be interpreted on a daily basis which may delay diagnosis of this entity. Development of artificial i...

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Bibliographic Details
Published in:	Journal of digital imaging Vol. 33; no. 2; pp. 490 - 496
Main Authors:	Filice, Ross W., 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
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01-04-2020 Springer Nature B.V
Subjects:	Algorithms Annotations Artificial Intelligence Chest Crowdsourcing Datasets Datasets as Topic Humans Image analysis Image detection Image processing Imaging Learning algorithms Machine Learning Medicine Medicine & Public Health Original Paper Pneumothorax Pneumothorax - diagnostic imaging Radiographs Radiography Radiology X-Rays Chest radiograph Machine learning annotations Public datasets Pneumothorax Artificial intelligence Challenge
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