research
∙
09/08/2023
Open and reusable deep learning for pathology with WSInfer and QuPath
The field of digital pathology has seen a proliferation of deep learning...
share
research
∙
04/07/2023
Halcyon – A Pathology Imaging and Feature analysis and Management System
Halcyon is a new pathology imaging analysis and feature management syste...
research
∙
07/17/2022
Gigapixel Whole-Slide Images Classification using Locally Supervised Learning
Histopathology whole slide images (WSIs) play a very important role in c...
research
∙
06/15/2022
AI and Pathology: Steering Treatment and Predicting Outcomes
The combination of data analysis methods, increasing computing capacity,...
research
∙
02/17/2022
Visual attention analysis of pathologists examining whole slide images of Prostate cancer
We study the attention of pathologists as they examine whole-slide image...
research
∙
02/18/2020
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types
The distribution and appearance of nuclei are essential markers for the ...
research
∙
07/09/2019
Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types
Deep learning classifiers for characterization of whole slide tissue mor...
research
∙
05/26/2019
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer
Quantitative assessment of Tumor-TIL spatial relationships is increasing...
research
∙
04/09/2019
Label Super Resolution with Inter-Instance Loss
For the task of semantic segmentation, high-resolution (pixel-level) gro...
research
∙
11/28/2018
Disease phenotyping using deep learning: A diabetes case study
Characterization of a patient clinical phenotype is central to biomedica...
research
∙
10/31/2018
