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[Enhancement] Change readme style and Update metafiles. (#895) 
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Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
 		2021-09-28 16:25:37 +08:00
..
README.md [Enhancement] Change readme style and Update metafiles. (#895) 2021-09-28 16:25:37 +08:00
deeplabv3_unet_s5-d16_64x64_40k_drive.py [Improvement] Move train_cfg/test_cfg inside model (#341) 2021-01-19 17:06:23 -08:00
deeplabv3_unet_s5-d16_128x128_40k_chase_db1.py [Improvement] Move train_cfg/test_cfg inside model (#341) 2021-01-19 17:06:23 -08:00
deeplabv3_unet_s5-d16_128x128_40k_stare.py [Improvement] Move train_cfg/test_cfg inside model (#341) 2021-01-19 17:06:23 -08:00
deeplabv3_unet_s5-d16_256x256_40k_hrf.py [Improvement] Move train_cfg/test_cfg inside model (#341) 2021-01-19 17:06:23 -08:00
fcn_unet_s5-d16_64x64_40k_drive.py [Improvement] Move train_cfg/test_cfg inside model (#341) 2021-01-19 17:06:23 -08:00
fcn_unet_s5-d16_128x128_40k_chase_db1.py [Improvement] Move train_cfg/test_cfg inside model (#341) 2021-01-19 17:06:23 -08:00
fcn_unet_s5-d16_128x128_40k_stare.py [Improvement] Move train_cfg/test_cfg inside model (#341) 2021-01-19 17:06:23 -08:00
fcn_unet_s5-d16_256x256_40k_hrf.py [Improvement] Move train_cfg/test_cfg inside model (#341) 2021-01-19 17:06:23 -08:00
pspnet_unet_s5-d16_64x64_40k_drive.py [Improvement] Move train_cfg/test_cfg inside model (#341) 2021-01-19 17:06:23 -08:00
pspnet_unet_s5-d16_128x128_40k_chase_db1.py [Improvement] Move train_cfg/test_cfg inside model (#341) 2021-01-19 17:06:23 -08:00
pspnet_unet_s5-d16_128x128_40k_stare.py [Improvement] Move train_cfg/test_cfg inside model (#341) 2021-01-19 17:06:23 -08:00
pspnet_unet_s5-d16_256x256_40k_hrf.py [Improvement] Move train_cfg/test_cfg inside model (#341) 2021-01-19 17:06:23 -08:00
unet.yml [Enhancement] Change readme style and Update metafiles. (#895) 2021-09-28 16:25:37 +08:00

README.md

U-Net: Convolutional Networks for Biomedical Image Segmentation

Introduction

Official Repo

Code Snippet

UNet (MICCAI'2016/Nat. Methods'2019) 
@inproceedings{ronneberger2015u,
  title={U-net: Convolutional networks for biomedical image segmentation},
  author={Ronneberger, Olaf and Fischer, Philipp and Brox, Thomas},
  booktitle={International Conference on Medical image computing and computer-assisted intervention},
  pages={234--241},
  year={2015},
  organization={Springer}
}

Results and models

DRIVE

Method Backbone Image Size Crop Size Stride Lr schd Mem (GB) Inf time (fps) Dice config download
FCN UNet-S5-D16 584x565 64x64 42x42 40000 0.680 - 78.67 config model | log
PSPNet UNet-S5-D16 584x565 64x64 42x42 40000 0.599 - 78.62 config model | log
DeepLabV3 UNet-S5-D16 584x565 64x64 42x42 40000 0.596 - 78.69 config model | log

STARE

Method Backbone Image Size Crop Size Stride Lr schd Mem (GB) Inf time (fps) Dice config download
FCN UNet-S5-D16 605x700 128x128 85x85 40000 0.968 - 81.02 config model | log
PSPNet UNet-S5-D16 605x700 128x128 85x85 40000 0.982 - 81.22 config model | log
DeepLabV3 UNet-S5-D16 605x700 128x128 85x85 40000 0.999 - 80.93 config model | log

CHASE_DB1

Method Backbone Image Size Crop Size Stride Lr schd Mem (GB) Inf time (fps) Dice config download
FCN UNet-S5-D16 960x999 128x128 85x85 40000 0.968 - 80.24 config model | log
PSPNet UNet-S5-D16 960x999 128x128 85x85 40000 0.982 - 80.36 config model | log
DeepLabV3 UNet-S5-D16 960x999 128x128 85x85 40000 0.999 - 80.47 config model | log

HRF

Method Backbone Image Size Crop Size Stride Lr schd Mem (GB) Inf time (fps) Dice config download
FCN UNet-S5-D16 2336x3504 256x256 170x170 40000 2.525 - 79.45 config model | log
PSPNet UNet-S5-D16 2336x3504 256x256 170x170 40000 2.588 - 80.07 config model | log
DeepLabV3 UNet-S5-D16 2336x3504 256x256 170x170 40000 2.604 - 80.21 config model | log