Block diagram of the proposed Symtosis system for fatty liver disease detection; the blocks outside the dotted shaded rectangular box represent the flow of offline training system, and the blocks within the dotted box represent the online real-time system.
Normal liver images (left column) and abnormal liver images (right column).
Principal domain region (Ω) used for the computation of the bispectrum for real signals.
ROC curves of the DT and Fuzzy classifiers using Symtosis.
Mean ± standard deviation (SD) values of the significant features for the normal and abnormal classes using Symtosis system.
Symtosis classification results (the listed values are average of values obtained in the three folds) TN: true negatives, FN: false negatives, TP: true positives, FP: false positives, A: accuracy, PPV: positive predictive value, Sn: sensitivity, Sp: specificity.
Summary of studies that presented various CAD techniques for liver image classification.
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