# Four-class classification on BACH Image-wise (val)

Source: [Four-class classification on BACH Image-wise (val)](<https://www.sota2.com/research/sota/four-class-classification-on-bach-image-wise-val>)

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

Data updated: 2026-02-26T05:28:29.547Z

Evaluation of four-class classification performance on the validation split of the BACH Image-wise dataset, typically measured by 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 | Four-class classification |
| Dataset (including any stated split) | BACH Image-wise (val) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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/four-class-classification-on-bach-image-wise-val.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| MPCS-OP | 93.31 | Not recorded | 68fa6d691e209131cea39a68 |
| MPCS-RP | 93 | Not recorded | 68fa6d691e209131cea39a68 |
| MPCS-FP | 92.5 | Not recorded | 68fa6d691e209131cea39a68 |
| ImageNet (re-implement) | 92.4 | Not recorded | 68fa6d691e209131cea39a68 |

### MPCS-OP

Accuracy: 93.31. Result ID: 698fa0313a6c314849faa09f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d691e209131cea39a68.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d691e209131cea39a68.md>)

[Implementation](<https://github.com/prakashchhipa/Magnification-Prior-Self-Supervised-Method>)

Recorded evaluation configuration: {"Backbone":"ResNet-50"}. This record does not assert independent reproduction.

### MPCS-RP

Accuracy: 93. Result ID: 698fa0313a6c314849faa0a0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d691e209131cea39a68.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d691e209131cea39a68.md>)

[Implementation](<https://github.com/prakashchhipa/Magnification-Prior-Self-Supervised-Method>)

Recorded evaluation configuration: {"Backbone":"ResNet-50"}. This record does not assert independent reproduction.

### MPCS-FP

Accuracy: 92.5. Result ID: 698fa0313a6c314849faa09e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d691e209131cea39a68.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d691e209131cea39a68.md>)

[Implementation](<https://github.com/prakashchhipa/Magnification-Prior-Self-Supervised-Method>)

Recorded evaluation configuration: {"Backbone":"ResNet-50"}. This record does not assert independent reproduction.

### ImageNet (re-implement)

Accuracy: 92.4. Result ID: 698fa0313a6c314849faa09d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d691e209131cea39a68.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64151e209131cea02a64.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-50"}. This record does not assert independent reproduction.

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