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b/combinedDeepLearningActiveContour/functions/eval_metrics.m |
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% compute metrics |
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function [dm1,dm2,PD1,PD2,HD1,HD2]=eval_metrics(I,m_cnt,auto_seg,manualPoints,para) |
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% resize mask in the original image size |
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auto_seg_r=remap_mask(auto_seg,m_cnt,I); |
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% convex hull of resized mask |
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c_auto_seg_r=bwconvhull(auto_seg_r); |
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% convert mask to contour |
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autoPoints1=contourc(double(auto_seg_r), [0 0]); autoPoints1=autoPoints1(:,2:end)'; |
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autoPoints2=contourc(double(c_auto_seg_r), [0 0]);autoPoints2=autoPoints2(:,2:end)'; |
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if ~isempty(autoPoints1) && ~isempty(autoPoints2) |
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% Dice Metric |
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dm1 = calc_dm(autoPoints1,manualPoints,para); |
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dm2 = calc_dm(autoPoints2,manualPoints,para); |
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% Perpendicular Distance |
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PD1 = calc_dist(autoPoints1,manualPoints,para); |
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PD2 = calc_dist(autoPoints2,manualPoints,para); |
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% Hausdorff distance |
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HD1 = hausdorff( manualPoints, autoPoints1); |
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HD2 = hausdorff( manualPoints, autoPoints2); |
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else |
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dm1=0; |
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dm2=0; |
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PD1=100; |
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PD2=100; |
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HD1=100; |
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HD2=100; |
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end |
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end |