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U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference

Ronneberger O, Fischer P, Brox T. U-net: Convolutional networks for biomedical image segmentation[C]//International Conference on Medical image computing and computer-assisted intervention. Springer, Cham, 2015: 234-241.

Performance

Cityscapes

Model Backbone Resolution Training Iters Batch Size mIoU mIoU (flip) mIoU (ms+flip) Links
UNet - 1024x512 160000 4 65.00% 66.02% 66.89% model | log | vdl

STARE

Model Backbone Resolution Training Iters Batch Size AUC ROC DICE mIoU Links
UNet - 128x128 40000 16 95.93% 90.43% 83.54% model | log | vdl

DRIVE

Model Backbone Resolution Training Iters Batch Size AUC ROC DICE mIoU Links
UNet - 128x128 40000 16 95.58% 89.50% 82.12% model | log | vdl

CHASE DB1

Model Backbone Resolution Training Iters Batch Size AUC ROC DICE mIoU Links
UNet - 128x128 40000 16 95.69% 88.54% 80.87% model | log | vdl

HRF

Model Backbone Resolution Training Iters Batch Size AUC ROC DICE mIoU Links
UNet - 256x256 40000 16 93.39% 86.83% 78.45% model | log | vdl