Hi Maedeh
the number of subjects depends on the variability of whatever you are
training. I know Christophe found that a surprisingly small number of
subjects (around 15) was sufficient to capture major folding variability,
but of course small and rare features might have been washed out and we
wouldn't know.
The easiest way I can think of to test your procedure is to train on a
single subject, then use mri_ca_label to apply the atlas to that subject.
You won't get exactly the same as your training, but it should be awfully
close.
cheers
Bruce
On Sat, 13 Oct 2018, Maedeh Khalilian wrote:
External Email - Use Caution
Dear Freesurfer experts,
I have a question, does the number of input subjects matter in using
"mris_ca_train" or not? i mean
does it affect the results?(maybe the more subjects, the better result) and if
yes, what is an
approximate number?
and the second question is that if there is a way so i can check my .gcs file?
for example for
reading annotation files u had an m file named "read_annotation.m".it did help
me alot. Generally
how can i check my .gcs file and evaluate its quality? just by applying it on a
subject by
"mris_ca_label" ?
i really appreciate you if you can help me,
Kind regards,
Maedeh,
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