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.