4 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…
PathDiff: Histopathology Image Synthesis with Unpaired Text and Mask Conditions
Mahesh Bhosale, Abdul Wasi, Yuanhao Zhai +7
Diffusion-based generative models have shown promise in synthesizing histopathology images to address data scarcity caused by privacy constraints. Diagnostic text reports provide h…
CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation
Ruining Deng, Yihe Yang, David J. Pisapia +15
Multi-class cell segmentation in high-resolution gigapixel whole slide images (WSIs) is crucial for various clinical applications. However, training such models typically requires…