3D Medical Visual Question Answering on DeepChestVQA (Overall)
57Accuracy3DMedAgent
Evaluation results
| Method | Links | |
|---|---|---|
| 3DMedAgentAgent Model=GPT-52026.02 | 57 | |
| 3DMedAgentAgent Model=Qwen3-VL2026.02 | 55 | |
| GPT-52026.02 | 43 | |
| Qwen3-VLModel Parameters=30B2026.02 | 43 | |
| MedGemmaModel Parameters=27B2026.02 | 41 | |
| Huatuo-GPTModel Parameters=34B2026.02 | 41 | |
| M3D2026.02 | 41 | |
| Rand2026.02 | 40 | |
| RadFM2026.02 | 37 |