External Email - Use Caution
Hello dear all,
I use Freesurfer-Samseg for MS lesion segmentation(cross-sectional).
I use the T1 and Flair for this. (just these are inputs) I registered *flair and t1 to DIR *for every patient. (My manual lesion masks are on DIR imaging.) I controlled the registrations
At the beginning i didnt change initial threshold of run_samseg. (default value)
I created a binary lesion mask using different threshold.
*threshold *0.1= *dice* 0,604 *threshold *0.05= *dice *0.611 *threshold *0.001 = *dice *0.599
Do you have any recommendations to increase the dice? It seems that with this way It can't go up about 0.6
Best, Dilek
Hi Dilek, your bug report is incomplete. Please see https://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting for how to file an informative bug report.
On 8/30/2022 12:51 PM, Dilek Özkan wrote:
External Email - Use Caution
Hello dear all,
I use Freesurfer-Samseg for MS lesion segmentation(cross-sectional).
I use the T1 and Flair for this. (just these are inputs) I registered *flair and t1 to DIR *for every patient. (My manual lesion masks are on DIR imaging.) I controlled the registrations
At the beginning i didnt change initial threshold of run_samseg. (default value)
I created a binary lesion mask using different threshold.
*threshold *0.1= *dice* 0,604*
*threshold *0.05= *dice *0.611 *threshold *0.001 = *dice *0.599
Do you have any recommendations to increase the dice? It seems that with this way It can't go up about 0.6
Best, Dilek
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
External Email - Use Caution
Hello again,
I use Freesurfer-Samseg for MS lesion segmentation(cross-sectional).
I use the T1 and Flair for this. (just these are inputs) I registered *flair and t1 to DIR *for every patient. (My manual lesion masks are on DIR imaging.) I controlled the registrations, thea are true.
I created a binary lesion mask using different threshold. (mri_binarize --i /data/projects/MS_MRI/posteriors/Lesions.mgz --o /data/projects/MS_MR/binarize/lesion_binary.mgz --min 0.01) I checked the dice score with ground truth values with python.
*threshold *0.1= *dice* 0,604 *threshold *0.05= *dice *0.611 *threshold *0.001 = *dice *0.599
Do you have any recommendations to increase the dice?
# cvs_version 7.2.0 # sysname Linux # machine x86_64
Douglas N. Greve dgreve@mgh.harvard.edu, 31 Ağu 2022 Çar, 00:12 tarihinde şunu yazdı:
Hi Dilek, your bug report is incomplete. Please see https://secure-web.cisco.com/1RnsI-tf_KXbBLM99OHi9vq19avjAsCHrt3Y-Vc96p1_VmC... for how to file an informative bug report.
On 8/30/2022 12:51 PM, Dilek Özkan wrote:
External Email - Use CautionHello dear all,
I use Freesurfer-Samseg for MS lesion segmentation(cross-sectional).
I use the T1 and Flair for this. (just these are inputs) I registered *flair and t1 to DIR *for every patient. (My manual lesion masks are on DIR imaging.) I controlled the registrations
At the beginning i didnt change initial threshold of run_samseg. (default value)
I created a binary lesion mask using different threshold.
*threshold *0.1= *dice* 0,604 *threshold *0.05= *dice *0.611 *threshold *0.001 = *dice *0.599
Do you have any recommendations to increase the dice? It seems that with this way It can't go up about 0.6
Best, Dilek
Freesurfer mailing listFreesurfer@nmr.mgh.harvard.eduhttps://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://secure-web.cisco.com/1dSWiJHKqOhrJfz5sKbVln8b3KW6dGwCZyQq8DhuebSXUBb... 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/1OfvRD_0W4TURHltDGjSi5_vIXm45BvIbmcwZsafnaNyejO... < https://secure-web.cisco.com/1OfvRD_0W4TURHltDGjSi5_vIXm45BvIbmcwZsafnaNyejO... .
freesurfer@nmr.mgh.harvard.edu