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Visualization of the Classifications of the Deep Neural Network Model
Handling very large images in medical imaging applications » Artificial Intelligence - MATLAB & Simulink
True-T – Improving T-cell response quantification with holistic artificial intelligence based prediction in immunohistochemistry images - Computational and Structural Biotechnology Journal
Cancers, Free Full-Text
A graph neural network framework for mapping histological topology in oral mucosal tissue, BMC Bioinformatics
Runyu Hong on LinkedIn: Deep learning integrates histopathology and proteogenomics at a pan-cancer…
Bioengineering, Free Full-Text
Deep learning: systematic review, models, challenges, and research directions
PDF] A Survey on Graph-Based Deep Learning for Computational Histopathology
Diagram of the multi-resolution U-Net (3rm). Each input is a 256x256
PDF] Deep neural network models for computational histopathology: A survey
A graph neural network framework for mapping histological topology in oral mucosal tissue, BMC Bioinformatics
Digital pathology and artificial intelligence in translational medicine and clinical practice - Modern Pathology
Schematic of the deep learning and SL workflows a, Histology image