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eval_dice_sub.m
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eval_dice_sub.m
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function eval_dice_sub(method,iK,iRep)
% The group-to-subject reproducibility evaluated by Dice coefficient.
% 2015-5-9 10:57:07
% SLIC: a whole brain parcellation toolbox
% Copyright (C) 2016 Jing Wang
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program. If not, see <http://www.gnu.org/licenses/>.
tic;
load parc_graymatter.mat;
nM=num_gray;
load sInfo.mat;
cK=sK(iK);
nPart=2;
for iPart=1:nPart
load(sprintf('%s_parc/K%d_part%d_rep%d.mat',method,cK,iPart,iRep));
A=img_parc(msk_gray);
A=pdist(A);
A=A==0;
A=sparse(double(A));
load sInfo.mat; % reset sSub
load(sprintf('randset_%d.mat',3-iPart)); % load the other part of subjects
sSub=sSub(randset(:,iRep));
nSub=length(sSub);
for iSub=1:nSub
cSub=sSub(iSub);
if ismember(method,{'MSC_mean','MSC_twolevel','MKSC'})
load(sprintf('MSC_sub_parc/sub%05d_K%d.mat',cSub,cK));
else
load(sprintf('SLIC_sub_parc/sub%05d_K%d.mat',cSub,cK));
end
B=img_parc(msk_gray);
B=pdist(B);
B=B==0;
B=sparse(double(B));
% union
C=A.*B;
% sum
SA=sum(A(:));
SB=sum(B(:));
SC=sum(C(:));
% Dice's coefficient
dice(iPart,iSub)=(2*SC)/(SA+SB);
end
end
time=toc/3600;
fprintf('Time to calculate Dice coefficient: %0.2f hours. \n',time);
save(sprintf('%s_dice_sub/K%d_rep%d.mat',method,cK,iRep),'dice','time');