Matterport’s broadly disseminated Mask R-CNN distribution, version 2.1, was implemented in these experiments [41]. Threshold parameters and maximum instance limits were matched to those reported above for ANCIS. In addition, we applied some of the parameters set by Waleed Abdulla in his nucleus segmentation example code [41]. Anchors per image were set to 64, and anchor scales were set at (8, 16, 32, 64, 128). We did not implement mini masks, however, and our batch size was limited to 1. The network backbone used was resnet50, and binary cross entropy loss function as used. Training was initialized on the pre-trained coco dataset weights, downloaded from the code author’s website [41].

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