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Found 6 papers, 3 papers with code
Open and reusable deep learning for pathology with WSInfer and QuPath
The field of digital pathology has seen a proliferation of deep learning models in recent years.
Halcyon -- A Pathology Imaging and Feature analysis and Management System
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 production of features from deep-learning feature pipelines.
ImageBox3: No-Server Tile Serving to Traverse Whole Slide Images on the Web
Whole slide imaging (WSI) has become the primary modality for digital pathology data.
Federated Learning for the Classification of Tumor Infiltrating Lymphocytes
We evaluate the performance of federated learning (FL) in developing deep learning models for analysis of digitized tissue sections.
Representing Whole Slide Cancer Image Features with Hilbert Curves
In this paper we propose using Hilbert Curves simultaneously for spatial indexing and as a polygonal ROI representation.
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 increasingly important in both basic science and clinical aspects of breast cancer research.
