5 Result(s)
within
** Hyeong Noh
English
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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...
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Article
Analysis of the complete genome sequence and capsid region of black queen cell viruses from infected honeybees (Apis mellifera) in Korea
Black queen cell virus (BQCV) infection is one of the most common viral infections in honeybees (Apis mellifera). A phylogenetic tree was constructed for 19 partial nucleotide sequences for the capsid region of S...
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Article
Phylogenetic analysis of black queen cell virus genotypes in South Korea
The black queen cell virus (BQCV), a picorna-like honeybee virus, was first isolated from queen larvae and pupae of honeybees found dead in their cells. BQCV is the most common cause of death in queen larvae. ...
