Estimating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks

The core message of this article is to propose a strategic framework for estimating the amount of annotated data required to train satisfactory patch-based segmentation networks. This framework includes the establishment of performance expectations using a Minor Boundary Adjustment for Threshold (MinBAT) method, and standardizing patch selection through the ROI-based Expanded Patch Selection (REPS) method.