High throughput image labeling on chest computed tomography by deep learning

When mining image data from PACs or clinical trials or processing large volumes of data without curation, the relevant scans must be identified among irrelevant or redundant data. Only images acquired with appropriate technical factors, patient positioning, and physiological conditions may be applic...

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Vydáno v:J Med Imaging (Bellingham)
Hlavní autoři: Wang, Xiaoyong, Teng, Pangyu, Ontiveros, Ashley, Goldin, Jonathan G., Brown, Matthew S.
Médium: Artigo
Jazyk:Inglês
Vydáno: Society of Photo-Optical Instrumentation Engineers 2020
Témata:
Computer-Aided Diagnosis
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7082666/
https://ncbi.nlm.nih.gov/pubmed/32219151
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.7.2.024501
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