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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...
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06/15/2022
AI and Pathology: Steering Treatment and Predicting Outcomes
The combination of data analysis methods, increasing computing capacity,...
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04/12/2021
Common Limitations of Image Processing Metrics: A Picture Story
While the importance of automatic image analysis is increasing at an eno...
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08/16/2020
In-situ Workflow Auto-tuning via Combining Performance Models of Component Applications
In-situ parallel workflows couple multiple component applications, such ...
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10/31/2019
Run-time Parameter Sensitivity Analysis Optimizations
Efficient execution of parameter sensitivity analysis (SA) is critical t...
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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...
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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...
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04/09/2019
Label Super Resolution with Inter-Instance Loss
For the task of semantic segmentation, high-resolution (pixel-level) gro...
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10/31/2018
Methods for Segmentation and Classification of Digital Microscopy Tissue Images
High-resolution microscopy images of tissue specimens provide detailed i...
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10/05/2018