# Glioma Subtype Classification on Glioma Subtype Classification (External) Source: [Glioma Subtype Classification on Glioma Subtype Classification (External)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:49:44.677Z Evaluation of model performance on classifying glioma subtypes using metrics including MCC, AUROC, and F1 scores specific to Astro, GBM, and Oligo subtypes. 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 | Glioma Subtype Classification | | Dataset (including any stated split) | Glioma Subtype Classification (External) | | Metric | MCC | | Unit | SCALAR | | Direction | Higher is better | | Results loaded | 6 of 6 | | 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 - [MCC](): Higher is better; unit: SCALAR. - [AUROC](): Higher is better; unit: SCALAR. - [F1 Score (Astro)](): Higher is better; unit: PERCENT. - [F1 Score (GBM)](): Higher is better; unit: PERCENT. - [F1 Score (Oligo)](): Higher is better; unit: PERCENT. ## Recorded results | Method | MCC | Result date | Report paper | | --- | --- | --- | --- | | MM-DINOv2 | 0.6 | Not recorded | 68fa7b311e209131cea87271 | | MM-DINOv2 | 0.57 | Not recorded | 68fa7b311e209131cea87271 | | ResNet34 | 0.54 | Not recorded | 68fa7b311e209131cea87271 | | RGB DINOv2 | 0.52 | Not recorded | 68fa7b311e209131cea87271 | | RGB DINOv2 | 0.37 | Not recorded | 68fa7b311e209131cea87271 | | RGB DINOv2 | 0.27 | Not recorded | 68fa7b311e209131cea87271 | ### MM-DINOv2 MCC: 0.6. Result ID: 698b82b37a967eddb76f2fbd. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Training Setting":"Supervised"}. This record does not assert independent reproduction. ### MM-DINOv2 MCC: 0.57. Result ID: 698b82b37a967eddb76f2fbf. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Training Setting":"Semi-supervised"}. This record does not assert independent reproduction. ### ResNet34 MCC: 0.54. Result ID: 698b82b37a967eddb76f2fba. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Training Setting":"Supervised"}. This record does not assert independent reproduction. ### RGB DINOv2 MCC: 0.52. Result ID: 698b82b37a967eddb76f2fbc. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Training Setting":"Supervised"}. This record does not assert independent reproduction. ### RGB DINOv2 MCC: 0.37. Result ID: 698b82b37a967eddb76f2fbe. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Training Setting":"Semi-supervised"}. This record does not assert independent reproduction. ### RGB DINOv2 MCC: 0.27. Result ID: 698b82b37a967eddb76f2fbb. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Training Setting":"Supervised","Protocol":"frozen"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.