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Introduction
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Classroom Contents
Few-Shot Chest X-Ray Diagnosis Using Clinical and Literature Images
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- 1 Introduction
- 2 Outline
- 3 Fewshot Learning
- 4 Fewshot Challenges
- 5 Ensemble Models
- 6 Two Methods for Chest Xray Diagnosis
- 7 Ensemble Learning
- 8 Bootstrap sampling
- 9 Projecting bootstrap samples
- 10 Subspace sampling
- 11 Winner subspace
- 12 Subspace dimension
- 13 Clusterbased representation
- 14 Hidden space representation
- 15 Weighted voting
- 16 Query input
- 17 Process Pipeline
- 18 Auto Encoder Ensemble
- 19 Class Levels
- 20 Metalearning Framework
- 21 Experiments
- 22 Combinations
- 23 Training Data
- 24 Results
- 25 F1 Scores
- 26 Utility of Design
- 27 Conclusion
- 28 Questions
- 29 Future Sector
- 30 Classification Pipeline
- 31 Initial Training
- 32 Loss Function
- 33 Pseudo Levels
- 34 Retraining
- 35 Performance
- 36 Result
