Region-level classification on Br35H
92.38AccuracyMedP-CLIP
Evaluation Results
| Method | Links | |
|---|---|---|
| MedP-CLIPData Scale=6.4 M, Med. Domain=✓, Dataset Region Information=✓, Region-aware Design=✓, Backbone=ViT-L/14, Prompt type=w. both2026.04 | 92.38 | |
| BiomedCLIPData Scale=15 M, Med. Domain=✓, Dataset Region Information=✗, Region-aware Design=✗2026.04 | 91.95 | |
| BMC-CLIPData Scale=24 M, Med. Domain=✓, Dataset Region Information=✗, Region-aware Design=✗2026.04 | 91.7 | |
| MedP-CLIPData Scale=6.4 M, Med. Domain=✓, Dataset Region Information=✓, Region-aware Design=✓, Backbone=ViT-B/16, Prompt type=w. box2026.04 | 79.46 | |
| GenMedCLIPData Scale=4.7 M, Med. Domain=✓, Dataset Region Information=✓, Region-aware Design=✗2026.04 | 78.93 | |
| MedP-CLIPData Scale=6.4 M, Med. Domain=✓, Dataset Region Information=✓, Region-aware Design=✓, Backbone=ViT-B/16, Prompt type=w. both2026.04 | 78.9 | |
| UniMed-CLIPData Scale=5.3 M, Med. Domain=✓, Dataset Region Information=✗, Region-aware Design=✗2026.04 | 74.59 | |
| MedP-CLIPData Scale=6.4 M, Med. Domain=✓, Dataset Region Information=✓, Region-aware Design=✓, Backbone=ViT-B/16, Prompt type=w. point2026.04 | 69.85 | |
| ASGData Scale=217 K, Med. Domain=✓, Dataset Region Information=✓, Region-aware Design=✓2026.04 | 67.03 | |
| MedP-CLIPData Scale=6.4 M, Med. Domain=✓, Dataset Region Information=✓, Region-aware Design=✓, Backbone=ViT-B/16, Prompt type=w/o. prompt2026.04 | 58.61 | |
| CLIPData Scale=400 M, Med. Domain=✗, Dataset Region Information=✗, Region-aware Design=✗2026.04 | 52.93 | |
| CARZeroData Scale=377 K, Med. Domain=✓, Dataset Region Information=✗, Region-aware Design=✓2026.04 | 51.93 | |
| MedCLIPData Scale=0.6 M, Med. Domain=✓, Dataset Region Information=✗, Region-aware Design=✗2026.04 | 48.56 |