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Data Augmentation
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Classroom Contents
Causality Matters in Medical Imaging
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- 1 Intro
- 2 Predictive Modelling
- 3 Challenges: Data Scarcity & Mismatch
- 4 A Causal Perspective
- 5 Example: Skin Lesion Classification
- 6 Example: Brain Tumour Segmentation
- 7 Example: Radiology Reports
- 8 Semi-supervised learning
- 9 Data Augmentation
- 10 Dataset Shift
- 11 Acquisition Shift A Little Experiment
- 12 Acquisition Shift: A Little Experiment
- 13 Domain Adaptation
- 14 Domain Generalisation
- 15 PACS Benchmark
- 16 Episodic Training
- 17 Global Class Alignment
- 18 Local Sample Clustering
- 19 Back to Causality
- 20 Guidelines and Regulation
- 21 Recommendations
