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We created a custom pipeline (histo-fetch) to efficiently extract randompatches and labels from pathology whole slide images (WSIs) for input to aneural network on-the-fly. We prefetch these patches as needed during networktraining, avoiding the need for WSI preparation such as chopping/tiling. Wedemonstrate the utility of this pipeline to perform artificial stain transferand image generation using the popular networks CycleGAN and ProGAN,respectively.

Histo-fetch -- On-the-fly processing of gigapixel whole slide images simplifies and speeds neural network training