# Meningioma grade prediction on Collected Meningioma MRI dataset (test) Source: [Meningioma grade prediction on Collected Meningioma MRI dataset (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:04:14.880Z Evaluation of Meningioma grade prediction performance on the test split of the Collected Meningioma MRI 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 | Meningioma grade prediction | | 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](): Higher is better; unit: PERCENT. - [Specificity](): Higher is better; unit: PERCENT. - [Accuracy](): Higher is better; unit: PERCENT. - [G-Means](): Higher is better; unit: PERCENT. - [Balanced Accuracy](): Higher is better; unit: PERCENT. - [MCC](): Higher is better; unit: SCALAR. - [AUPRC](): Higher is better; unit: PERCENT. - [AUC](): Higher is better; unit: PERCENT. ## Recorded results | Method | Sensitivity | Result date | Report paper | | --- | --- | --- | --- | | MAML | 69.2 | Not recorded | 68fa6d541e209131cea392b5 | | Task-Aware Contrastive Learning | 68.78 | Not recorded | 68fa6d541e209131cea392b5 | | MFMT | 65.82 | Not recorded | 68fa6d541e209131cea392b5 | | MMoE | 64.98 | Not recorded | 68fa6d541e209131cea392b5 | | EFMT | 59.5 | Not recorded | 68fa6d541e209131cea392b5 | ### MAML Sensitivity: 69.2. Result ID: 698f86cc3a6c314849f9b39f. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ResNet34"}. This record does not assert independent reproduction. ### Task-Aware Contrastive Learning Sensitivity: 68.78. Result ID: 698f86cc3a6c314849f9b3a0. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ResNet34"}. This record does not assert independent reproduction. ### MFMT Sensitivity: 65.82. Result ID: 698f86cc3a6c314849f9b39d. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet34"}. This record does not assert independent reproduction. ### MMoE Sensitivity: 64.98. Result ID: 698f86cc3a6c314849f9b39e. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet34"}. This record does not assert independent reproduction. ### EFMT Sensitivity: 59.5. Result ID: 698f86cc3a6c314849f9b39c. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet34"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.