Appropriateness of a donor liver with respect to macrosteatosis: Application of artificial neural networks to US images - Initial experience

Radiology

Volumn 234, Issue 3, 2005, Pages 793-803

  Se, Hyung Kim ^a   Jeong, Min Lee ^a   Jong, Hyo Kim ^a   Kwang, Gi Kim ^a   Joon, Koo Han ^a   Kyoung, Ho Lee ^a,b   Seong, Ho Park ^a   Yi, Nam Joon ^a   Suh, Kyung Suk ^a   Su, Kyung An ^a   Young, Jun Kim ^a   Kyu, Ri Son ^a   Hye, Seung Lee ^a   Byung, Ihn Choi ^a  

^a Seoul National University College of Medicine   (South Korea)

^b Seoul National University Bundang Hospital   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ALANINE AMINOTRANSFERASE; ALKALINE PHOSPHATASE; ASPARTATE AMINOTRANSFERASE; GAMMA GLUTAMYLTRANSFERASE;

ADULT; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; ECHOGRAPHY; ETHICS; FATTY LIVER; FEMALE; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; LIVER; LIVER TRANSPLANTATION; MAJOR CLINICAL STUDY; MALE; ORGAN DONOR; PORTAL VEIN; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY;

ADOLESCENT; ADULT; ALGORITHMS; CHI-SQUARE DISTRIBUTION; FATTY LIVER; FEMALE; HUMANS; LIVER FUNCTION TESTS; LIVER TRANSPLANTATION; LIVING DONORS; LOGISTIC MODELS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); OBSERVER VARIATION; RETROSPECTIVE STUDIES; ROC CURVE; SENSITIVITY AND SPECIFICITY;

EID: 13844266860     PISSN: 00338419     EISSN: None     Source Type: Journal    
DOI: 10.1148/radiol.2343040142     Document Type: Article

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