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. 2023 Jan 12;13:1010273. doi: 10.3389/fpsyt.2022.1010273

TABLE 2.

Description of the tools used and their main parameters.

Name Modalities used Commentaries Hyper-parameters PM threshold
BIANCA FLAIR Preprocessing included except for WM mask computing Lesion/non-lesion points: 2.000/10.000; WM mask threshold: 0.30 0.60
LST LGA T1w, FLAIR Preprocessing included κ = 0.10 0.35
LST LPA FLAIR Preprocessing included None 0.10
LST LPA T1w, FLAIR Preprocessing included None 0.15
pgs T1w, FLAIR Training dataset from MICCAI challenge coregistration T1w to FLAIR None 0.15
sysu_media (default) FLAIR Training dataset from MICCAI challenge None 0.65
sysu_media (retrained) FLAIR Preprocessing: brain extraction, SANLM training dataset with 20 participants from DELCODE None 0.45

PM, probability map; WM, white matter; T1w, T1-weighted image; FLAIR, fluid-attenuated inversion recovery image; SANLM, spatially adaptive non-local means noise correction; MICCAI, the medical image computing and computer assisted intervention; LST LGA/-LPA, lesion segmentation toolbox for SPM using lesion growth algorithm/lesion prediction algorithms; BIANCA, brain intensity abnormality classification algorithm.