Brian,
OK.......Is the model able to be manually edited to improve the fit?
J
----- Original Message -----
From: "Brian Patenaude" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Thursday, July 10, 2008 8:32 PM
Subject: Re: [FSL] FIRST Hippocampus Segmentation
> Hi,
>
> This is probably as good as it gets.
>
> Cheers,
>
> Brian
>
>
> On 10 Jul 2008, at 00:38, Jay Ives wrote:
>
>> Hi Brian,
>>
>> I presume one doesn't have to run the thalamus segmentation
>> separately - that it is done by the -intref option.
>>
>> I ran this with 30 and 60 modes, but still there are several voxels
>> outside the model. Is this as good as it gets?
>>
>> Thx...................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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