# Brain invasion identification on Collected Meningioma MRI dataset (test)

Source: [Brain invasion identification on Collected Meningioma MRI dataset (test)](<https://www.sota2.com/research/sota/brain-invasion-identification-on-collected-meningioma-mri-dataset-test>)

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

Data updated: 2026-02-26T06:04:14.863Z

Evaluation of brain invasion identification performance on the test split of the Collected Meningioma MRI dataset, reporting classification metrics such as Sensitivity, Specificity, 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 | Brain invasion identification |
| Dataset (including any stated split) | Collected Meningioma MRI dataset (test) |
| Metric | Sensitivity |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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

- [Sensitivity](<https://www.sota2.com/research/sota/brain-invasion-identification-on-collected-meningioma-mri-dataset-test.md?metric=Sensitivity>): Higher is better; unit: PERCENT.

- [Specificity](<https://www.sota2.com/research/sota/brain-invasion-identification-on-collected-meningioma-mri-dataset-test.md?metric=Specificity>): Higher is better; unit: PERCENT.

- [Accuracy](<https://www.sota2.com/research/sota/brain-invasion-identification-on-collected-meningioma-mri-dataset-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [G-Means](<https://www.sota2.com/research/sota/brain-invasion-identification-on-collected-meningioma-mri-dataset-test.md?metric=G-Means>): Higher is better; unit: PERCENT.

- [Balanced Accuracy](<https://www.sota2.com/research/sota/brain-invasion-identification-on-collected-meningioma-mri-dataset-test.md?metric=Balanced%20Accuracy>): Higher is better; unit: PERCENT.

- [MCC](<https://www.sota2.com/research/sota/brain-invasion-identification-on-collected-meningioma-mri-dataset-test.md?metric=MCC>): Higher is better; unit: SCALAR.

- [AUPRC](<https://www.sota2.com/research/sota/brain-invasion-identification-on-collected-meningioma-mri-dataset-test.md?metric=AUPRC>): Higher is better; unit: PERCENT.

- [AUC](<https://www.sota2.com/research/sota/brain-invasion-identification-on-collected-meningioma-mri-dataset-test.md?metric=AUC>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Sensitivity | Result date | Report paper |
| --- | --- | --- | --- |
| MMoE | 79.63 | Not recorded | 68fa6d541e209131cea392b5 |
| EFMT | 75.93 | Not recorded | 68fa6d541e209131cea392b5 |
| Task-Aware Contrastive Learning | 75.93 | Not recorded | 68fa6d541e209131cea392b5 |
| MAML | 74.07 | Not recorded | 68fa6d541e209131cea392b5 |
| MFMT | 68.52 | Not recorded | 68fa6d541e209131cea392b5 |

### MMoE

Sensitivity: 79.63. Result ID: 698f86cc3a6c314849f9b399.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d541e209131cea392b5.md>)

Recorded evaluation configuration: {"Backbone":"ResNet34"}. This record does not assert independent reproduction.

### EFMT

Sensitivity: 75.93. Result ID: 698f86cc3a6c314849f9b397.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d541e209131cea392b5.md>)

Recorded evaluation configuration: {"Backbone":"ResNet34"}. This record does not assert independent reproduction.

### Task-Aware Contrastive Learning

Sensitivity: 75.93. Result ID: 698f86cc3a6c314849f9b39b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d541e209131cea392b5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d541e209131cea392b5.md>)

[Implementation](<https://github.com/IsDling/predictTCL>)

Recorded evaluation configuration: {"Backbone":"ResNet34"}. This record does not assert independent reproduction.

### MAML

Sensitivity: 74.07. Result ID: 698f86cc3a6c314849f9b39a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d541e209131cea392b5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a5e1e209131cea27c67.md>)

[Implementation](<https://github.com/YaoZhang93/MAML>)

Recorded evaluation configuration: {"Backbone":"ResNet34"}. This record does not assert independent reproduction.

### MFMT

Sensitivity: 68.52. Result ID: 698f86cc3a6c314849f9b398.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d541e209131cea392b5.md>)

Recorded evaluation configuration: {"Backbone":"ResNet34"}. This record does not assert independent reproduction.

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