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Hi Alberto,
As you already indicated, it's really a combination of an unsupervised clustering method with a supervised shape model, so the dichotomy between the two doesn't neatly apply. When I think about this type of method, I consider it an unsupervised technique at its core, with a bit of supervision to constrain the solution space.
Hope this helps,
Koen
On Fri, Aug 12, 2022 at 10:51 AM Alberto Del Cerro Leon < bertocerron@gmail.com> wrote:
External Email - Use CautionHello, I am reading the paper "A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis" relative to SAMSEG method and I would like to ask you a question. Due to the use of a training set in the lesion shape modeling we should consider SAMSEG as a supervised or unsupervised method? _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://secure-web.cisco.com/10U86FEHviFHiSk9XM1x2SgBoIMMoY4ym325hWV-byR0-_-... The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Mass General Brigham Compliance HelpLine at https://secure-web.cisco.com/1n2XXUu2MDi0eO7Cx_3u_q-Dsu_8mnhIDpUr0X_b_PKIzk7... < https://secure-web.cisco.com/1n2XXUu2MDi0eO7Cx_3u_q-Dsu_8mnhIDpUr0X_b_PKIzk7... .