Skip to content

ahmedeqbal/PDF-UNet

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

16 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

This repository contains the original implementation of "PDF-UNet: A semi-supervised method for segmentation of breast tumor images using a U-shaped pyramid-dilated network " in PyTorch. This paper has been published in "Expert Systems with Applications - Elsevier, IF:8.665"

Proposed Architecture

PDF-UNet

Pyramid-dilated fusion block

Visualization of segmentation results

Requirements

  • Python 3.9.7
  • PyTorch: 1.10.1
  • OpenCV: 4.6.0
  • Numpy: 1.22.3
  • Matplotlib: 3.5.1

Cite:

If you use PDF-UNet architecture in your project, please cite the following paper:

Iqbal, A., & Sharif, M. (2023). PDF-UNet: A semi-supervised method for segmentation of breast tumor images using a U-shaped pyramid-dilated network. Expert Systems with Applications, 119718. DOI: https://doi.org/10.1016/j.eswa.2023.119718

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages