Sela Y, Freiman M, Dery E, Edrei Y, Safadi R, Pappo O, Joskowicz L, Abramovitch R. fMRI-based hierarchical SVM model for the classification and grading of liver fibrosis. IEEE Trans Biomed Eng. September 2011;58(9):2574-2581.
Publication Date
September 2011
How Analyze was Used
“The normalization proceeds as follows: First, the liver contours are interactively segmented onthe corresponding T1- weighted images with the Analyze-7.0 software…and the remaining structures are eliminated from the fMRI images.”
Keywords
Animals
Databases, Factual
Disease Models, Animal
Image Interpretation, Computer-Assisted/methods
Liver Cirrhosis/classification/pathology
Magnetic Resonance Imaging (MRI)/methods
Mice
ROC Curve
Reproducibility of Results
Support Vector Machines
Author Affiliation(s)
School of Engineering and Computer Science, The Hebrew University of Jerusalem, Jerusalem 91904, Israel. (YS)
ID# 827
Tags: Animal Disease Models, Animals, Computer-Assisted Image Interpretation, Factual Databases, Liver Cirrhosis/classification/pathology, Magnetic Resonance Imaging (MRI)/methods, Methods, Mice, Reproducibility of Results, ROC Curve, Support Vector Machines