2 citations · 2 across the 3 of their papers we have counts for
3 papers
A Comprehensive Benchmark of Histopathology Foundation Models for Kidney Digital Pathology Images
Harishwar Reddy Kasireddy, Patricio S. La Rosa, Akshita Gupta +12
Histopathology foundation models (HFMs), pretrained on large-scale cancer datasets, have advanced computational pathology. However, their applicability to non-cancerous chronic kid…
Interactive visualization of kidney micro-compartmental segmentations and associated pathomics on whole slide images
Mark S. Keller, Nicholas Lucarelli, Yijiang Chen +13
Application of machine learning techniques enables segmentation of functional tissue units in histology whole-slide images (WSIs). We built a pipeline to apply previously validated…
Histo-fetch -- On-the-fly processing of gigapixel whole slide images simplifies and speeds neural network training
Brendon Lutnick, Leema Krishna Murali, Brandon Ginley +2
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. We pr…