Trans2Unet

Reported on 5 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical5 results

Medical Image SegmentationonGlaS
Dice· 2024-07-24
89.84
best: 93.25 (Hi-gMISnet)
Trans2Unet: Neural fusion for Nuclei Semantic Segmentation arXiv:2407.17181
Medical Image SegmentationonGlaS
F1· 2024-07-24
89.84
best: 93.25 (Hi-gMISnet)
Trans2Unet: Neural fusion for Nuclei Semantic Segmentation arXiv:2407.17181
Medical Image SegmentationonGlaS
IoU· 2024-07-24
82.54
best: 85.13 (MDM)
Trans2Unet: Neural fusion for Nuclei Semantic Segmentation arXiv:2407.17181
Medical Image Segmentationon2018 Data Science Bowl
Dice· 2024-07-24
0.9225
best: 92.79 (ReN-UNet)
Trans2Unet: Neural fusion for Nuclei Semantic Segmentation arXiv:2407.17181
Medical Image Segmentationon2018 Data Science Bowl
mIoU· 2024-07-24
0.8614
best: 87.22 (ReN-UNet)
Trans2Unet: Neural fusion for Nuclei Semantic Segmentation arXiv:2407.17181