Hi Brian,
Glad I asked.......I applied it wrong and got a stupid result. It might help
others to clarify the usage on the webpage.
Thanks for the advice.
J
----- Original Message -----
From: "Brian Patenaude" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Wednesday, July 09, 2008 6:26 PM
Subject: Re: [FSL] FIRST Hippocampus Segmentation
> Hi,
>
>> OK. Does one specify the model with the -m flag in addition to
>> the -intref option? In essence, what is correct the command line format
>> when using -intref?
>
> -intref ${FSLDIR}/data/first/models_317_bin/L_Thal_bin.bmv -m
> ${FSLDIR}/data/first/models_317_bin/intref_thal/L_Hipp_bin.bmv
>
>
>
>> What do you mean by "leave-one-out cross-validation "
>
> leave-one-out cross-validation is a fairly standard technique for
> assessing accuracy in an nearly unbiased manner (particularly when sample
> sizes are not large). The model is trained from all subjects but one, then
> applied to the left out subject. This is then repeated for each subject.
> By doing this, the test subject is never included in the training data.
>
> Cheers,
>
> Brian
>
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