Research field
Digital Pathology
Digital pathology digitises glass histology slides into gigapixel whole-slide images and applies computational tools from classical image analysis to deep learning to extract diagnostic and prognostic information at scale.
12,000 Researchers
$730K Avg funding
5 Subfields
5 Top institutions
Top institutions
Memorial Sloan Kettering Cancer Center
Stanford University
Harvard Medical School
Karolinska Institutet
University of Leeds
Subfields
Whole Slide Image Analysis Deep Learning for Tumour Grading Multiplex Immunohistochemistry Computational Biomarker Discovery AI-Assisted Diagnosis
Key technologies
Whole Slide Scanners
Deep Convolutional Neural Networks
Graph Neural Networks for Tissue
Spatial Proteomics (CODEX/MIBI)
Digital Pathology Platforms (QuPath/HALO)
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