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Open AccessA deep learning approach for fully automated measurements of lower extremity alignment in radiographic images
During clinical evaluation of patients and planning orthopedic treatments, the periodic assessment of lower limb alignment is critical. Currently, physicians use physical tools and radiographs to directly obse...
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Article
Open AccessUnsupervised anomaly detection for posteroanterior chest X-rays using multiresolution patch-based self-supervised learning
The demand for anomaly detection, which involves the identification of abnormal samples, has continued to increase in various domains. In particular, with increases in the data volume of medical imaging, the d...
