MDA-Net

This repository contains the original implementation of "MDA-Net: Multiscale dual attention-based network for breast lesion segmentation using ultrasound images" in PyTorch library. This paper has been published in "Journal of King Saud University - Computer and Information Sciences"

Proposed Architecture:

Dual attention block:

Results on Private Ultrasound dataset:

Results on RIDER breast MRI dataset:

Pretrained weights:

Download from Google Drive

Demo:

A demo can be found in Here

Requirements:

• Python 3.7.9
• PyTorch: 1.6.0
• Numpy: 1.19.2
• OpenCV: 4.5.1
• Scikit-Learn: 0.23.2
• Pandas: 1.1.4
• Matplotlib: 3.3.2

Cite:

If you use MDA-Net in your project, please cite the following paper:

Iqbal, A., & Sharif, M. (2022). "MDA-Net: Multiscale dual attention-based network for breast lesion segmentation using ultrasound images",
Journal of King Saud University - Computer and Information Sciences, 2022. https://doi.org/10.1016/j.jksuci.2021.10.002