Automated Segmentation and Object Classification of CT Images: Application to In Vivo Molecular Imaging of Avian Embryos

Table 1

Classification accuracy of the SVM after 10-fold cross-validation on the training data from Group 1 eggs.

Classes	True positive rate	False positive rate	Precision	Recall	F-measure	ROC-area
Humerus	0.941	0.003	0.842	0.941	0.889	0.999
Radius	0.929	0.001	0.929	0.929	0.929	0.996
Ulna	0.918	0.001	0.938	0.918	0.928	0.979
Carpometacarpus	0.865	0.002	0.900	0.865	0.882	0.988
Femur	1.000	0.001	0.962	1.000	0.981	1.000
Tibiotarsus	0.925	0.000	0.980	0.925	0.951	0.999
Tarsometatarsus	0.941	0.001	0.960	0.941	0.950	0.991
Not of interest (NOI)	0.994	0.043	0.994	0.994	0.994	0.996
Weighted avg.	0.986	0.038	0.987	0.986	0.986	0.996