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Chapter and Conference Paper
Discrimination of Chronic Liver Disease in Non-contrast CT Images using CNN-Deep Learning
Recently, there have been considerable efforts to develop non-invasive image-based method for diagnosis, staging, and monitoring of chronic liver disease (CLD). This study developed a deep learning (DL) algori...
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Chapter and Conference Paper
Development of Web-Based Management System and Dataset for Radiology-Common Data Model (R-CDM) and Its Clinical Application in Liver Cirrhosis
The Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM) used in distributed research networks has low coverage of clinical data and does not reflect the latest trends of precision medicine....
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Chapter and Conference Paper
Analysis and Classification of Urinary Stones Using Deep Learning Algorithm: A Clinical Application of Radiology-Common Data Model (R-CDM) Data Set
Recent advances in artificial intelligence have been used for a variety of clinical interests, such as lesion detection, segmentation, classification, and differentiation in medical images, and a great deal of...