25 citations · 44 across the 7 of their papers we have counts for
7 papers
Open and reusable deep learning for pathology with WSInfer and QuPath
Jakub R. Kaczmarzyk, Alan O'Callaghan, Fiona Inglis +5
The field of digital pathology has seen a proliferation of deep learning models in recent years. Despite substantial progress, it remains rare for other researchers and pathologist…
Halcyon -- A Pathology Imaging and Feature analysis and Management System
Erich Bremer, Tammy DiPrima, Joseph Balsamo +3
Halcyon is a new pathology imaging analysis and feature management system based on W3C linked-data open standards and is designed to scale to support the needs for the voluminous p…
ImageBox3: No-Server Tile Serving to Traverse Whole Slide Images on the Web
Praphulla MS Bhawsar, Erich Bremer, Máire A Duggan +4
Whole slide imaging (WSI) has become the primary modality for digital pathology data. However, due to the size and high-resolution nature of these images, they are generally only a…
Federated Learning for the Classification of Tumor Infiltrating Lymphocytes
Ujjwal Baid, Sarthak Pati, Tahsin M. Kurc +6
We evaluate the performance of federated learning (FL) in developing deep learning models for analysis of digitized tissue sections. A classification application was considered as…
Representing Whole Slide Cancer Image Features with Hilbert Curves
Erich Bremer, Jonas Almeida, Joel Saltz
Regions of Interest (ROI) contain morphological features in pathology whole slide images (WSI) are delimited with polygons[1]. These polygons are often represented in either a text…
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer
Han Le, Rajarsi Gupta, Le Hou +12
Quantitative assessment of Tumor-TIL spatial relationships is increasingly important in both basic science and clinical aspects of breast cancer research. We have developed and eva…
Tuning for Tissue Image Segmentation Workflows for Accuracy and Performance
Luis F. R. Taveira, Tahsin Kurc, Alba C. M. A. Melo +4
We propose a software platform that integrates methods and tools for multi-objective parameter auto- tuning in tissue image segmentation workflows. The goal of our work is to provi…