This is an example showing how to use COMPARE to analyze BBL female
schizophrenia data. The female data consist of 61 subjects, where 38 subjects
are normal controls and 23 subjects are schizophrenia patients. The scans of
these subjects were spatially normalized into a template space and RAVENS maps
were computed for classification. The RAVENS maps were spatially smoothed to
improve SNR. Corresponding subject list files have been created for training
and testing.

The 'Images' directory contains all the image files. The subject list file
for training is named 'train.lst' and the list file for testing 'test.lst'.

The example run consists of the following steps, where the training step can
be omitted when the provided model in the 'Model' directory is used for testing.

1. Train the model

2. Classify testing data using the trained model

