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DoB24
/
fundus-9model-benchmark
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0
Image Classification
PyTorch
DoB24/fundus-10class-augmented
medical-imaging
ophthalmology
fundus
retinal-disease
benchmark
ensemble
cross-validation
arxiv:
2304.07193
arxiv:
2103.14030
License:
apache-2.0
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fundus-9model-benchmark
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5 commits
DoB24
Pooled five-fold consistency: foundation models pooled like CNN/CLIP; 9-model McNemar (36 pairs); per-class pooled; pooled ensemble report
767b053
verified
23 days ago
confusion_matrices
Add post-hoc analysis: confusion matrices, ROC, reliability, per-class F1, accuracy ranking
about 1 month ago
confusion_matrices_csv
Add numeric confusion matrix CSVs
about 1 month ago
per_class
Add post-hoc analysis: confusion matrices, ROC, reliability, per-class F1, accuracy ranking
about 1 month ago
reliability_diagrams
Add post-hoc analysis: confusion matrices, ROC, reliability, per-class F1, accuracy ranking
about 1 month ago
roc_curves
Add post-hoc analysis: confusion matrices, ROC, reliability, per-class F1, accuracy ranking
about 1 month ago
README.md
Safe
708 Bytes
Add post-hoc analysis: confusion matrices, ROC, reliability, per-class F1, accuracy ranking
about 1 month ago
accuracy_ranking.png
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69.9 kB
Add post-hoc analysis: confusion matrices, ROC, reliability, per-class F1, accuracy ranking
about 1 month ago
ece_summary.json
Safe
365 Bytes
Add post-hoc analysis: confusion matrices, ROC, reliability, per-class F1, accuracy ranking
about 1 month ago
ensemble_pooled.json
588 Bytes
Pooled five-fold consistency: foundation models pooled like CNN/CLIP; 9-model McNemar (36 pairs); per-class pooled; pooled ensemble report
23 days ago
per_class_metrics.csv
4.61 kB
Add per-class precision/recall/F1/support CSV
about 1 month ago
per_class_metrics_pooled.csv
6.94 kB
Pooled five-fold consistency: foundation models pooled like CNN/CLIP; 9-model McNemar (36 pairs); per-class pooled; pooled ensemble report
23 days ago