Author :
Hasib Al Muzdadid
Department of Computer Science & Engineering,
Rajshahi University of Engineering & Technology (RUET)
Portfolio: https://hasibalmuzdadid.github.io
LinkedIn: https://www.linkedin.com/in/hasibalmuzdadid
Pallab Chowdhury
Department of Electrical & Computer Engineering,
Rajshahi University of Engineering & Technology (RUET)
Portfolio: https://pkchowdhury.github.io/
LinkedIn: https://www.linkedin.com/in/pkchowdhury95/
Email: chowdhurypall95@gmail.com
This repository contains the official sample codes [not the original codes used in implementation] regarding the research paper titled "A robust encoder decoder based weighted segmentation and dual staged feature fusion based meta classification for breast cancer utilizing ultrasound imaging" published by Elsevier's "Intelligent Systems with Applications" journal. Some code snippets, such as ASPP and Attention Block, Feature Fusion Block etc., have been removed from the original codes and replaced with simpler ones for easier understanding and reproduction by fellow researchers.
Language used : Python
Development Tool : Jupyter Notebook
@article{HIMEL2024200367,
title = {A robust encoder decoder based weighted segmentation and dual staged feature fusion based meta classification for breast cancer utilizing ultrasound imaging},
journal = {Intelligent Systems with Applications},
volume = {22},
pages = {200367},
year = {2024},
issn = {2667-3053},
doi = {https://doi.org/10.1016/j.iswa.2024.200367},
url = {https://www.sciencedirect.com/science/article/pii/S2667305324000437},
author = {Md Hasib Al Muzdadid Haque Himel and Pallab Chowdhury and Md. Al Mehedi Hasan},
keywords = {Breast cancer, Deep learning, Feature fusion, Ultrasound imaging, Segmentation, Classification, Medical image analysis}
}