# Image Classification on Real-world Seegene

Source: [Image Classification on Real-world Seegene](<https://www.sota2.com/research/sota/image-classification-on-real-world-seegene>)

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

Data updated: 2026-02-26T05:27:04.564Z

Evaluation of Image Classification performance on the Real-world Seegene dataset.

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 | Image Classification |
| Dataset (including any stated split) | Real-world Seegene |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 9 of 9 |
| 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

- [Accuracy](<https://www.sota2.com/research/sota/image-classification-on-real-world-seegene.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [AUC](<https://www.sota2.com/research/sota/image-classification-on-real-world-seegene.md?metric=AUC>): Higher is better; unit: PERCENT.

- [F1 Score](<https://www.sota2.com/research/sota/image-classification-on-real-world-seegene.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| MicroMIL | 99.22 | Not recorded | 68fa7ae41e209131cea85b5e |
| TransMIL | 97.78 | Not recorded | 68fa7ae41e209131cea85b5e |
| DTFD-MIL | 96.11 | Not recorded | 68fa7ae41e209131cea85b5e |
| IBMIL | 96.11 | Not recorded | 68fa7ae41e209131cea85b5e |
| ACMIL | 96.11 | Not recorded | 68fa7ae41e209131cea85b5e |
| MS-DA-MIL | 95.56 | Not recorded | 68fa7ae41e209131cea85b5e |
| CLAM | 95.56 | Not recorded | 68fa7ae41e209131cea85b5e |
| ABMIL | 94.44 | Not recorded | 68fa7ae41e209131cea85b5e |
| DSMIL | 94.44 | Not recorded | 68fa7ae41e209131cea85b5e |

### MicroMIL

Accuracy: 99.22. Result ID: 698b7eae7a967eddb76f1367.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7ae41e209131cea85b5e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7ae41e209131cea85b5e.md>)

[Implementation](<https://anonymous.4open.science/r/MicroMIL-6C7C>)

Recorded evaluation configuration: {"Backbone":"ResNet-18","Feature Dimension":128,"Clusters":36}. This record does not assert independent reproduction.

### TransMIL

Accuracy: 97.78. Result ID: 698b7eae7a967eddb76f1363.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7ae41e209131cea85b5e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b2d1e209131cea2c9e3.md>)

[Implementation](<https://github.com/szc19990412/TransMIL>)

Recorded evaluation configuration: {"Backbone":"ResNet-18","Feature Dimension":128}. This record does not assert independent reproduction.

### DTFD-MIL

Accuracy: 96.11. Result ID: 698b7eae7a967eddb76f1364.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7ae41e209131cea85b5e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c0e1e209131cea31c2d.md>)

[Implementation](<https://github.com/hrzhang1123/DTFD-MIL>)

Recorded evaluation configuration: {"Backbone":"ResNet-18","Feature Dimension":128}. This record does not assert independent reproduction.

### IBMIL

Accuracy: 96.11. Result ID: 698b7eae7a967eddb76f1365.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7ae41e209131cea85b5e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ec91e209131cea421df.md>)

[Implementation](<https://github.com/HHHedo/IBMIL>)

Recorded evaluation configuration: {"Backbone":"ResNet-18","Feature Dimension":128}. This record does not assert independent reproduction.

### ACMIL

Accuracy: 96.11. Result ID: 698b7eae7a967eddb76f1366.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7ae41e209131cea85b5e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74051e209131cea5f49f.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-18","Feature Dimension":128}. This record does not assert independent reproduction.

### MS-DA-MIL

Accuracy: 95.56. Result ID: 698b7eae7a967eddb76f1360.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7ae41e209131cea85b5e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67561e209131cea159d2.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-18","Feature Dimension":128}. This record does not assert independent reproduction.

### CLAM

Accuracy: 95.56. Result ID: 698b7eae7a967eddb76f1362.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7ae41e209131cea85b5e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5f041e209131ce9e6f7a.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-18","Feature Dimension":128}. This record does not assert independent reproduction.

### ABMIL

Accuracy: 94.44. Result ID: 698b7eae7a967eddb76f135f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7ae41e209131cea85b5e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64861e209131cea052eb.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-18","Feature Dimension":128}. This record does not assert independent reproduction.

### DSMIL

Accuracy: 94.44. Result ID: 698b7eae7a967eddb76f1361.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7ae41e209131cea85b5e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69b21e209131cea23838.md>)

[Implementation](<https://github.com/binli123/dsmil-wsi>)

Recorded evaluation configuration: {"Backbone":"ResNet-18","Feature Dimension":128}. This record does not assert independent reproduction.

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