Brian,
Um.......either......both.
I think I meant the output surface.
How would one edit the model?
J
----- Original Message -----
From: "Brian Patenaude" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Tuesday, July 29, 2008 9:28 PM
Subject: Re: [FSL] FIRST Hippocampus Segmentation
> 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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