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Deep Retinal Image Understanding (DRIU)

Downloads


Publications

MICCAI

K.K. Maninis, J. Pont-Tuset, P. Arbeláez, and L. Van Gool
Deep Retinal Image Understanding
Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2016
[PDF] [Supplemental] [BibTex] 

@inproceedings{Man+16,
  author = {K.K. Maninis and J. Pont-Tuset and P. Arbel\'{a}ez and L. Van Gool},
  title = {Deep Retinal Image Understanding},
  booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
  year = {2016}
}
Please cite this paper if you found the resources of this web useful.

Models and scripts

To reproduce the results reported in the paper, follow the next steps:
  • Download this version of Caffe into a folder /path/to/caffe/
  • Install caffe and its dependencies by following the steps here.
  • Install pycaffe by running make pycaffe in /path/to/caffe/
  • Make a folder named /path/to/caffe/DRIU/
  • Download and place the model(s) and scripts under /path/to/caffe/DRIU/
  • Download the test images and extract the content under /path/to/caffe/DRIU/
DRIU Models
Scripts and Images

Pre-computed DRIU results

You can download pre-computed DRIU results for DRIVE, STARE, DRIONS-DB and RIM-ONE-r3 datasets, as well as the train/test splits used for producing the results:

Pre-computed
DRIU results
Splits

Pre-computed SoA results

You can also download pre-computed results of all studied methods for DRIVE, STARE, DRIONS-DB and RIM-ONE-r3 datasets:

Pre-computed
SoA results