Diagnostic Classification on BraTS & FCD 2021/2023
0.7885AccuracyHilbert-VLM
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Hilbert-VLMFramework=Two-stage (Segmentation + Fused Prompt Module)2025.12 | 0.7885 | 0.7535 | 0.8544 | 0.8 | |
| MiniGPT4o2025.12 | 0.6933 | 0.839 | 0.649 | 0.73 | |
| Qwen 2.5-VL2025.12 | 0.6731 | 0.6979 | 0.8035 | 0.75 | |
| Med-PaLM M2025.12 | 0.6681 | 0.6513 | 0.7027 | 0.68 | |
| XrayPULSE2025.12 | 0.6181 | 0.6742 | 0.5986 | 0.63 | |
| XrayGPT2025.12 | 0.6022 | 0.5945 | 0.6275 | 0.61 | |
| R2Gen2025.12 | 0.5412 | 0.5356 | 0.5736 | 0.55 |