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Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN

Results 4 Mammographic-mass-CAD-via-pseudo-color-mammogram-and-Mask-R-CNN issues
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error: 'mask' undefined near line 5 column 9 error: called from Normalization_mask at line 5 column 7

Do all the training data have masses in them? How will this distinguish cases with no mass but some high intensity patterns then? What should the instanceMaskMap be in this...

Could you please confirm that data augmentation is duplicating the train and validation sets? Each image is only transformed once, right?

"We used 5-fold cross validation in our paper..." Could you tell me where (in the code) you are using 5-fold cross validation?