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A decision aid for diagnosis of liver lesions on mri
Abstract Abdominal magnetic resonance imaging (MRI) Abdominal magnetic resonance imaging (MRI) plays an important role in the evaluation of liver abnormalities. The interpretation of MR images requires expert training in a rapidly changing field. DAFODILL (Decision Aid for Diagnosing Liver Lesions) is a decision-support tool designed to aid radiologists in the diagnosis of hepatic lesions seen on MRI. DAFODILL uses a knowledge base of MRI findings and a belief-network inference engine to generate probabilistic differential diagnoses of the most commonly encountered hepatic lesions. DAFODILL performs limited image processing to identify clinically relevant features, which are presented to the user for confirmation before they are used by the network. Preliminary evaluation of an initial version of the system suggests that DAFODILL may be a useful tool for radiology residents and nonexpert radiologists in interpreting MR images of the liver. ts in interpreting MR images of the liver.
Address Washington D.C. +
Author Rhea Tombropoulos +, Smadar Shiffman +, C. Davidson +
Bibtype techreport  +
Institution Knowledge Systems, AI Laboratory +
Key KSL-93-36  +
Modification dateThis property is a special property in this wiki. 1 May 2009 14:03:01  +
Note April Updated August 1993. +
Number KSL-93-36  +
Tag Computer science +
Title A Decision Aid for Diagnosis of Liver Lesions on MRI  +
Tr id KSL-93-36  +
Year 1993  +
Categories Technical Report, Publication, KSL Technical Report
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