Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
A novel form of chest X-ray imaging could help clinicians detect pneumothorax more quickly and with greater confidence.
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Automated system improves deep learning accuracy in chest radiography analysis
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
This combined model achieved a high level of accuracy, suggesting that imaging data alongside basic clinical information could be effective for screening.
» What can I do to ensure that the X-ray beam spectrum is optimized for the various clinical procedures performed in our facility? » Does the use of automatic exposure control (AEC) always ensure the ...
NUST MISIS scientists, in collaboration with colleagues from both the P.N. Lebedev Physical Institute of the Russian Academy of Sciences and Dagestan State University, have conducted an experiment ...
Researchers at Osaka Metropolitan University developed models that classify X-ray images into specific body regions and ...
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