Hi,
Sorry for the delay in the response, I've been away.
By manually edit the model, do you mean the output surface, or the
actual model?
Cheers,
Brian
On 11 Jul 2008, at 03:17, Jay Ives wrote:
> 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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