154 citations · 156 across the 4 of their papers we have counts for
4 papers
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…
Unsupervised Community Detection with a Potts Model Hamiltonian, an Efficient Algorithmic Solution, and Applications in Digital Pathology
Brendon Lutnick, Wen Dong, Zohar Nussinov +1
Unsupervised segmentation of large images using a Potts model Hamiltonian is unique in that segmentation is governed by a resolution parameter which scales the sensitivity to small…
Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis
Brendon Lutnick, Brandon Ginley, Darshana Govind +7
Neural networks promise to bring robust, quantitative analysis to medical fields, but adoption is limited by the technicalities of training these networks. To address this translat…
Multi-radial LBP Features as a Tool for Rapid Glomerular Detection and Assessment in Whole Slide Histopathology Images
Olivier Simon, Rabi Yacoub, Sanjay Jain +1
We demonstrate a simple and effective automated method for the segmentation of glomeruli from large (~1 gigapixel) histopathological whole-slide images (WSIs) of thin renal tissue…