Skip to content

Minerva-J/D-MEM

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Deformable Multi path Ensemble Model PyTorch1.0 Python3.7

This is my contribution to the "Automated Segmentation of Cervical Nuclein Pap Smear Images Using Deformable Multi-path Ensemble Model." (ISBI 2019 Oral Session Paper).

Paper link: https://arxiv.org/abs/1812.00527 Please cite this paper if you find this project helpful for your research.

Dependencies

python 3.7, CUDA 10.1, numpy 1.17, matplotlib 3.1.1, scikit-image (0.21), scipy (0.3.1), pyparsing (2.4.2), pytorch (1.0) (anaconda is recommended) other packages could be the latest version.

Training:

1.Install all dependencies

python train.py

You could modify some codes in models to obtain different architectures.

Testing:

python test.py

About

FC-DenseNet with deformable convolution

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages