Hi Javier

no, that's not correct, depending on which training set you mean. For the
Bayesian segmentation (aseg) we used 40 datasets distributed in age and
pathology (10 each for young, middle age, elderly and AD).

cheers
Bruce
On Wed, 25 Mar
2020, javier quilis wrote:

>
>         External Email - Use Caution        
>
> Thanks for the answer. 
>
> I can not open the power point for some reason. Is there any paper where I
> can check this? I think the dataset used by freesurfer is in the MNI Average
> Brain (305 MRI) Stereotaxic Model and this dataset only use MRIs from young
> people, is this correct?
>
> Thanks again.
> Bests, 
> Javier
>
>
>
>
>
> ____________________________________________________________________________
> De: freesurfer-bounces@nmr.mgh.harvard.edu
> <freesurfer-bounces@nmr.mgh.harvard.edu> en nombre de Douglas N. Greve
> <dgreve@mgh.harvard.edu>
> Enviado: viernes, 20 de marzo de 2020 15:39
> Para: freesurfer@nmr.mgh.harvard.edu <freesurfer@nmr.mgh.harvard.edu>
> Asunto: Re: [Freesurfer] training set  
> Try the tutorial slides
> https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/AnatomicalROI
> It does not go into a lot of detail, but it will give you the relevant
> lectures
>
>
> On 3/17/2020 8:54 AM, javier quilis wrote:
>
>               External Email - Use Caution        
>
>       Hello everyone, 
>
> I'm trying to do a study of a comparison between the automated methods
> to analyze structural MRI from FSL and Freesurfer. I am interested in
> the training set used by Freesurfer to do the brain segmentation and I
> can not find a detailed description of it. Is there any source where
> this set is described?
>
> Thanks in advance.
> Bests, 
> Javier Quilis
>
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>