Breast Ultrasound Diagnosis on Breast Ultrasound Dataset
93.78AccuracyLatent-CURE
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Latent-CUREModel Architecture=Latent-CURE2026.06 | 93.78 | 98.37 | 97.16 | 87.07 | |
| ViT-B/16Model Architecture=ViT-B/162026.06 | 92.29 | 94.69 | 90.07 | 83.27 | |
| ResNet18Model Architecture=ResNet182026.06 | 89.8 | 97.01 | 95.04 | 79.5 | |
| Baichuan-M2-PlusModel Architecture=Baichuan-M2-Plus2026.06 | 88.12 | 89.44 | 77.04 | 73.33 | |
| GPT-5Model Architecture=GPT-52026.06 | 78.11 | 75.88 | 42.55 | 51.16 | |
| Qwen3-VL-PlusModel Architecture=Qwen3-VL-Plus2026.06 | 77.36 | 76.4 | 46.1 | 48.47 | |
| Gemini-2.5-ProModel Architecture=Gemini-2.5-Pro2026.06 | 73.13 | 73.88 | 40.43 | 38.52 | |
| Qwen3-VL-8B-COTModel Architecture=Qwen3-VL-8B-COT2026.06 | 66.92 | 68.28 | 21.28 | 18.33 | |
| Qwen3-VL-Embed-COTModel Architecture=Qwen3-VL-Embed-COT2026.06 | 64.93 | 64.93 | 0 | 0 | |
| Qwen3-VL-8B-InstructModel Architecture=Qwen3-VL-8B-Instruct2026.06 | 64.43 | 71.91 | 46.1 | 20.83 | |
| Qwen3-VL-8B-loraModel Architecture=Qwen3-VL-8B-lora2026.06 | 63.43 | 73.22 | 53.19 | 21.7 | |
| Qwen3-VL-Embed-8BModel Architecture=Qwen3-VL-Embed-8B2026.06 | 58.71 | 63.82 | 12.06 | -5.13 |