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doi.org/10.1007/s10278-020-00413-2
Unsupervised Deep Anomaly Detection in Chest Radiographs
Takahiro Nakao
11
,
Shouhei Hanaoka
18
,
...,
Osamu Abe
63
View all 10 authors
Journal of Digital Imaging
3.80
Volume: 34, Issue: 2, Pages: 418 - 427
Published
: Feb 8, 2021
60
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Paper Fields
Autoencoder
Deep learning
Internal medicine
Radiology
Pattern recognition (psychology)
Radiography
Artificial intelligence
Dextrocardia
Pleural effusion
Computer science
Receiver operating characteristic
Chest radiograph
Medicine
Anomaly detection
Convolutional neural network
Paper Details
Title
Unsupervised Deep Anomaly Detection in Chest Radiographs
DOI
doi.org/10.1007/s10278-020-00413-2
Published Date
Feb 8, 2021
Journal
Journal of Digital Imaging
Volume
34
Issue
2
Pages
418 - 427
Notes
History
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