DebeshJha / DoubleUNet

PyTorch implementation of DoubleUNet for medical image segmentation

DoubleUNet

DoubleUNet for medical image segmentation (PyTorch)

Architecture

Datasets:

The following datasets are used in this experiment:

1. Kvasir-SEG
2. CVC-ClinicDB
3. CVC-ColonDB
4. Data-science-Bowl
5. Skin-lesion-segmentation

## Citation Please cite our paper if you find the work useful:

  @INPROCEEDINGS{9183321,
  author={D. {Jha} and M. A. {Riegler} and D. {Johansen} and P. {Halvorsen} and H. D. {Johansen}},
  booktitle={2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)}, 
  title={DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation}, 
  year={2020},
  pages={558-564}}

Contact

please contact [e-mail] for any further questions.