Medical Image Segmentation on 31 Datasets Collection
65.93Mean DiceCamylaD
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| CamylaDBackbone=DeepSeek, Datasets=312026.04 | 65.93 | — | — | — | — | — | — | — | |
| Camyla_DIdea generator model=DeepSeek V3.2, Total nodes explored=863, Mean nodes per dataset=27.8, First success position (mean / med.)=5.7 / 4.5, Total wall time=∼28 days, LLM API cost per dataset (mean)=$23, Papers generated=182026.04 | 65.93 | — | 0.5806 | 16 | 2 | 70.4 | 1.89 | 30.63 | |
| CamylaSBackbone=Sonnet, Datasets=312026.04 | 65.22 | — | — | — | — | — | — | — | |
| Camyla_SIdea generator model=Claude Sonnet 4.6, Total nodes explored=514, Mean nodes per dataset=16.6, First success position (mean / med.)=7.6 / 6.0, Total wall time=∼28 days, LLM API cost per dataset (mean)=$26, Papers generated=222026.04 | 65.22 | — | 0.7097 | 11 | 11 | 69.56 | 1.18 | 32.18 | |
| AutoNNUNetDatasets=312026.04 | 64.27 | 9 | — | — | — | — | — | — | |
| DiNTSStatus=retrained, Datasets=312026.04 | 58.03 | 1 | — | — | — | — | — | — |