# Medical Image Classification on Camelyon17 OOD WILDS (test)

Source: [Medical Image Classification on Camelyon17 OOD WILDS (test)](<https://www.sota2.com/research/sota/medical-image-classification-on-camelyon17-ood-wilds-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:35:13.955Z

Evaluation of Medical Image Classification performance on the test split of the Camelyon17 OOD WILDS dataset, reporting Average Accuracy.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Medical Image Classification |
| Dataset (including any stated split) | Camelyon17 OOD WILDS (test) |
| Metric | Average Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 13 of 13 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Average Accuracy](<https://www.sota2.com/research/sota/medical-image-classification-on-camelyon17-ood-wilds-test.md?metric=Average%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Average Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| self-supervised Vision Transformer | 95.44 | Not recorded | 68fa73e91e209131cea5ed95 |
| ContriMix | 94.6 | Not recorded | 68fa73e91e209131cea5ed95 |
| MBDG | 93.3 | Not recorded | 68fa73e91e209131cea5ed95 |
| ERM with targeted augmentation | 92.1 | Not recorded | 68fa73e91e209131cea5ed95 |
| LISA | 77.1 | Not recorded | 68fa73e91e209131cea5ed95 |
| FISH + SDG | 76.2 | Not recorded | 68fa70701e209131cea4aff2 |
| CORAL + SDG | 75.2 | Not recorded | 68fa70701e209131cea4aff2 |
| FISH | 74.7 | Not recorded | 68fa70701e209131cea4aff2 |
| CORAL + AND-MASK | 70.8 | Not recorded | 68fa70701e209131cea4aff2 |
| ERM | 70.8 | Not recorded | 68fa73e91e209131cea5ed95 |
| ERM | 70.3 | Not recorded | 68fa70701e209131cea4aff2 |
| CORAL + SAND-MASK | 64.7 | Not recorded | 68fa70701e209131cea4aff2 |
| CORAL | 59.5 | Not recorded | 68fa70701e209131cea4aff2 |

### self-supervised Vision Transformer

Average Accuracy: 95.44. Result ID: 699325d53a6c314849140c7c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73e91e209131cea5ed95.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73e91e209131cea5ed95.md>)

[Implementation](<https://www.sota2.com/github.com/sdoerrich97/vits-are-generative-models>)

Recorded evaluation configuration: {"Classifier":"DenseNet-121"}. This record does not assert independent reproduction.

### ContriMix

Average Accuracy: 94.6. Result ID: 699325d53a6c314849140c7b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73e91e209131cea5ed95.md>)

Recorded evaluation configuration: {"Classifier":"DenseNet-121"}. This record does not assert independent reproduction.

### MBDG

Average Accuracy: 93.3. Result ID: 699325d53a6c314849140c7a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73e91e209131cea5ed95.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b491e209131cea2d4bd.md>)

Recorded evaluation configuration: {"Classifier":"DenseNet-121"}. This record does not assert independent reproduction.

### ERM with targeted augmentation

Average Accuracy: 92.1. Result ID: 699325d53a6c314849140c79.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73e91e209131cea5ed95.md>)

Recorded evaluation configuration: {"Classifier":"DenseNet-121"}. This record does not assert independent reproduction.

### LISA

Average Accuracy: 77.1. Result ID: 699325d53a6c314849140c78.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73e91e209131cea5ed95.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cd91e209131cea36415.md>)

Recorded evaluation configuration: {"Classifier":"DenseNet-121"}. This record does not assert independent reproduction.

### FISH + SDG

Average Accuracy: 76.2. Result ID: 69911cc63a6c31484905c85f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70701e209131cea4aff2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70701e209131cea4aff2.md>)

Recorded evaluation configuration: {"Base Algorithm":"FISH","Optimization":"SDG"}. This record does not assert independent reproduction.

### CORAL + SDG

Average Accuracy: 75.2. Result ID: 69911cc63a6c31484905c85d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70701e209131cea4aff2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70701e209131cea4aff2.md>)

Recorded evaluation configuration: {"Base Algorithm":"CORAL","Optimization":"SDG"}. This record does not assert independent reproduction.

### FISH

Average Accuracy: 74.7. Result ID: 69911cc63a6c31484905c85e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70701e209131cea4aff2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70701e209131cea4aff2.md>)

Recorded evaluation configuration: {"Base Algorithm":"FISH","Optimization":"Standard"}. This record does not assert independent reproduction.

### CORAL + AND-MASK

Average Accuracy: 70.8. Result ID: 69911cc63a6c31484905c85b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70701e209131cea4aff2.md>)

Recorded evaluation configuration: {"Base Algorithm":"CORAL","Optimization":"AND-MASK"}. This record does not assert independent reproduction.

### ERM

Average Accuracy: 70.8. Result ID: 699325d53a6c314849140c77.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73e91e209131cea5ed95.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a611e209131cea27dd0.md>)

[Implementation](<https://github.com/p-lambda/wilds>)

Recorded evaluation configuration: {"Classifier":"DenseNet-121"}. This record does not assert independent reproduction.

### ERM

Average Accuracy: 70.3. Result ID: 69911cc63a6c31484905c860.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70701e209131cea4aff2.md>)

Recorded evaluation configuration: {"Base Algorithm":"ERM"}. This record does not assert independent reproduction.

### CORAL + SAND-MASK

Average Accuracy: 64.7. Result ID: 69911cc63a6c31484905c85c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70701e209131cea4aff2.md>)

Recorded evaluation configuration: {"Base Algorithm":"CORAL","Optimization":"SAND-MASK"}. This record does not assert independent reproduction.

### CORAL

Average Accuracy: 59.5. Result ID: 69911cc63a6c31484905c85a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70701e209131cea4aff2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70701e209131cea4aff2.md>)

Recorded evaluation configuration: {"Base Algorithm":"CORAL","Optimization":"Standard"}. This record does not assert independent reproduction.

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