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boundary_weightmap_liver = 0.65boundary_weightmap_liver + 0.35boundary_weightmap_lesion”
Q:
(1) Did boundary_weightmap formula come from ‘ weight_map = wc+w0 * np.exp(-1/2 * ((d1+d2)/sigma) ** 2) ’?
(2) How to determine the coefficients of the weight formula to be 0.75 and 0.25,0.65 and 0.35?
(3) How is this boundary_weightmap sent to the network? to which part of the network?
2." if opt.Training['data']=='lesion': vol_info['ref_mask_info']= pd.read_csv(opt.Paths['Training_Path']+'/Assign_2D_LiverMasks.csv', header=0)"
Q:What does this code mean?Why 'data' is'lesion', but Assign_2D_LiverMasks.csv is given to ref_mask_info?
Looking forward to your answer, thank you very much!
The text was updated successfully, but these errors were encountered:
Thank you for your sharing. I have some quesions :
Q:
(1) Did boundary_weightmap formula come from ‘ weight_map = wc+w0 * np.exp(-1/2 * ((d1+d2)/sigma) ** 2) ’?
(2) How to determine the coefficients of the weight formula to be 0.75 and 0.25,0.65 and 0.35?
(3) How is this boundary_weightmap sent to the network? to which part of the network?
2." if opt.Training['data']=='lesion': vol_info['ref_mask_info']= pd.read_csv(opt.Paths['Training_Path']+'/Assign_2D_LiverMasks.csv', header=0)"
Q:What does this code mean?Why 'data' is'lesion', but Assign_2D_LiverMasks.csv is given to ref_mask_info?
Looking forward to your answer, thank you very much!
The text was updated successfully, but these errors were encountered: