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Found 3 papers, 2 papers with code
Histo-fetch -- On-the-fly processing of gigapixel whole slide images simplifies and speeds neural network training
We created a custom pipeline (histo-fetch) to efficiently extract random patches and labels from pathology whole slide images (WSIs) for input to a neural network on-the-fly.
Neural Network Segmentation of Interstitial Fibrosis, Tubular Atrophy, and Glomerulosclerosis in Renal Biopsies
Glomerulosclerosis, interstitial fibrosis, and tubular atrophy (IFTA) are histologic indicators of irrecoverable kidney injury.
Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis
We track network performance improvements as a function of iteration and quantify the use of this pipeline for the segmentation of renal histologic findings on WSIs.
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