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Graph class
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Classroom Contents
MedAI- Graph-Based Modeling in Computational Pathology - Siyi Tang
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- 1 Introduction
- 2 Outline
- 3 Spectral networks
- 4 Spatial networks
- 5 Computational pathology
- 6 Cell graphs
- 7 Cell graph convolutional network
- 8 Method overview
- 9 Cell graph construction
- 10 What is graph adaptive glossage
- 11 What is adaptive glossage
- 12 Node embedding
- 13 Graph clustering
- 14 Graph class
- 15 Concatenation
- 16 Experiments
- 17 Cluster assignments
- 18 Cluster interpretation
- 19 Cancer grading
- 20 Nuclear sampling
- 21 Overview
- 22 Graph construction
- 23 Graph new network
- 24 Quick question
- 25 Paper
- 26 Drawbacks
- 27 Posthoc graph expanders
- 28 Histograms
- 29 Separability Score
- 30 Aggregate
- 31 Final Score
- 32 Risk Score
- 33 Data Set
- 34 Qualitative Assessment
- 35 Quantitative Assessment
- 36 Personal takeaways
- 37 Domain expertise
- 38 Explanation explainers
- 39 Graph neighborhood sampling
- 40 Questions
