# Benign/Malignant Diagnosis on Multi-Center (test)

Source: [Benign/Malignant Diagnosis on Multi-Center (test)](<https://www.sota2.com/research/sota/benign-malignant-diagnosis-on-multi-center-test>)

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

Data updated: 2026-02-26T05:30:23.173Z

Evaluation of model performance for Benign/Malignant Diagnosis using the test split of the Multi-Center dataset, reporting Accuracy, Precision, Recall, F1, and AUC.

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 | Benign/Malignant Diagnosis |
| Dataset (including any stated split) | Multi-Center (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 15 of 15 |
| 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/benign-malignant-diagnosis-on-multi-center-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Precision](<https://www.sota2.com/research/sota/benign-malignant-diagnosis-on-multi-center-test.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/benign-malignant-diagnosis-on-multi-center-test.md?metric=Recall>): Higher is better; unit: PERCENT.

- [F1 Score](<https://www.sota2.com/research/sota/benign-malignant-diagnosis-on-multi-center-test.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

- [AUC](<https://www.sota2.com/research/sota/benign-malignant-diagnosis-on-multi-center-test.md?metric=AUC>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| HSQformer-L | 88.51 | Not recorded | 68fa777e1e209131cea738e7 |
| HSQformer-B | 88.29 | Not recorded | 68fa777e1e209131cea738e7 |
| HSQformer-S | 87.41 | Not recorded | 68fa777e1e209131cea738e7 |
| ConvNext | 86.39 | Not recorded | 68fa777e1e209131cea738e7 |
| PVTv2-B5 | 85.9 | Not recorded | 68fa777e1e209131cea738e7 |
| FocalNet | 85.85 | Not recorded | 68fa777e1e209131cea738e7 |
| ViT | 85.55 | Not recorded | 68fa777e1e209131cea738e7 |
| SwinTransformer | 85.39 | Not recorded | 68fa777e1e209131cea738e7 |
| CswinTransformer | 85.22 | Not recorded | 68fa777e1e209131cea738e7 |
| MPViT | 84.82 | Not recorded | 68fa777e1e209131cea738e7 |
| Hiera | 84.79 | Not recorded | 68fa777e1e209131cea738e7 |
| ResNext101 | 84.39 | Not recorded | 68fa777e1e209131cea738e7 |
| DenseNet201 | 84.22 | Not recorded | 68fa777e1e209131cea738e7 |
| ResNet101 | 83.52 | Not recorded | 68fa777e1e209131cea738e7 |
| ThyNet | 83.36 | Not recorded | 68fa777e1e209131cea738e7 |

### HSQformer-L

Accuracy: 88.51. Result ID: 6994977b3a6c3148491e3e37.

[Reporting paper](<https://www.sota2.com/research/paper/68fa777e1e209131cea738e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa777e1e209131cea738e7.md>)

[Implementation](<https://github.com/Asunatan/HSQformer>)

Recorded evaluation configuration: {"variant":"large"}. This record does not assert independent reproduction.

### HSQformer-B

Accuracy: 88.29. Result ID: 6994977b3a6c3148491e3e36.

[Reporting paper](<https://www.sota2.com/research/paper/68fa777e1e209131cea738e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa777e1e209131cea738e7.md>)

[Implementation](<https://github.com/Asunatan/HSQformer>)

Recorded evaluation configuration: {"variant":"base"}. This record does not assert independent reproduction.

### HSQformer-S

Accuracy: 87.41. Result ID: 6994977b3a6c3148491e3e35.

[Reporting paper](<https://www.sota2.com/research/paper/68fa777e1e209131cea738e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa777e1e209131cea738e7.md>)

[Implementation](<https://github.com/Asunatan/HSQformer>)

Recorded evaluation configuration: {"variant":"small"}. This record does not assert independent reproduction.

### ConvNext

Accuracy: 86.39. Result ID: 6994977b3a6c3148491e3e31.

[Reporting paper](<https://www.sota2.com/research/paper/68fa777e1e209131cea738e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bf21e209131cea31132.md>)

[Implementation](<https://github.com/facebookresearch/ConvNeXt>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### PVTv2-B5

Accuracy: 85.9. Result ID: 6994977b3a6c3148491e3e32.

[Reporting paper](<https://www.sota2.com/research/paper/68fa777e1e209131cea738e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f131e209131cea43b6a.md>)

[Implementation](<https://github.com/whai362/PVT>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### FocalNet

Accuracy: 85.85. Result ID: 6994977b3a6c3148491e3e33.

[Reporting paper](<https://www.sota2.com/research/paper/68fa777e1e209131cea738e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6dd31e209131cea3c370.md>)

[Implementation](<https://github.com/microsoft/FocalNet>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### ViT

Accuracy: 85.55. Result ID: 6994977b3a6c3148491e3e2e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa777e1e209131cea738e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a0b1e209131cea25b04.md>)

[Implementation](<https://github.com/google-research/vision_transformer>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### SwinTransformer

Accuracy: 85.39. Result ID: 6994977b3a6c3148491e3e2f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa777e1e209131cea738e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Implementation](<https://github.com/microsoft/Swin-Transformer>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### CswinTransformer

Accuracy: 85.22. Result ID: 6994977b3a6c3148491e3e30.

[Reporting paper](<https://www.sota2.com/research/paper/68fa777e1e209131cea738e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b991e209131cea2f30f.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### MPViT

Accuracy: 84.82. Result ID: 6994977b3a6c3148491e3e34.

[Reporting paper](<https://www.sota2.com/research/paper/68fa777e1e209131cea738e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b7b1e209131cea2e726.md>)

[Implementation](<https://git.io/MPViT>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Hiera

Accuracy: 84.79. Result ID: 6994977b3a6c3148491e3e2d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa777e1e209131cea738e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f8e1e209131cea4636e.md>)

[Implementation](<https://github.com/facebookresearch/hiera>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### ResNext101

Accuracy: 84.39. Result ID: 6994977b3a6c3148491e3e2b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa777e1e209131cea738e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa634f1e209131ce9fdfe2.md>)

[Implementation](<https://github.com/facebookresearch/ResNeXt>)

Recorded evaluation configuration: {"Backbone":"ResNext101"}. This record does not assert independent reproduction.

### DenseNet201

Accuracy: 84.22. Result ID: 6994977b3a6c3148491e3e2a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa777e1e209131cea738e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63f31e209131cea01bfd.md>)

[Implementation](<https://github.com/liuzhuang13/DenseNet>)

Recorded evaluation configuration: {"Backbone":"DenseNet201"}. This record does not assert independent reproduction.

### ResNet101

Accuracy: 83.52. Result ID: 6994977b3a6c3148491e3e29.

[Reporting paper](<https://www.sota2.com/research/paper/68fa777e1e209131cea738e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62321e209131ce9f8328.md>)

Recorded evaluation configuration: {"Backbone":"ResNet101"}. This record does not assert independent reproduction.

### ThyNet

Accuracy: 83.36. Result ID: 6994977b3a6c3148491e3e2c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa777e1e209131cea738e7.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.
