Fig. 4
From: Convolutional neural network for automated mass segmentation in mammography
a Image index, b the original FFDM MG images from the INbreast database (the red rectangles show the location or the BBs of the ground truth lesions), c the GTMs given by radiologists, d the FCN model, e the Dilated-Net model, f the SegNet model, g the RG method, h U-Net model trained with the augmented data-set, i the proposed Vanilla U-Net model without augmentation, j the proposed Vanilla U-Net model trained with the augmented data-set, and finally k the Faster R-CNN model trained with the augmented data-set