Muhammad Rashid

Muhammad Rashid

Machine Learning Researcher

An Optimized Approach for Breast Cancer Classification for Histopathological Images Based on Hybrid Feature Set

Published in Current Medical Imaging (Bentham Science), 2021

Paper

Authors: Nasir, Inzamam M., Muhammad Rashid, Jamal Hussain Shah, Muhammad Sharif, Muhammad YH Awan, and Monagi H. Alkinani. “An optimized approach for breast cancer classification for histopathological images based on hybrid feature set.” Current Medical Imaging Reviews 17, no. 1 (2021): 136-147. DOI-10.2174/1573405616666200423085826

This work proposes an optimized framework for breast cancer classification using histopathological images by combining hybrid feature extraction techniques. The approach integrates multiple feature representations to improve classification accuracy and robustness in medical image analysis.

📖 Citation (BibTeX)

@article{nasir2021optimized,
  title     = {An Optimized Approach for Breast Cancer Classification for Histopathological Images Based on Hybrid Feature Set},
  author    = {Nasir, Inzamam M. and Rashid, Muhammad and Shah, Jamal Hussain and Sharif, Muhammad and Awan, Muhammad Y. H. and Alkinani, Monagi H.},
  journal   = {Current Medical Imaging Reviews},
  volume    = {17},
  number    = {1},
  pages     = {136--147},
  year      = {2021},
  publisher = {Bentham Science Publishers}
}