Open Access iconOpen Access

ARTICLE

crossmark

Recognizing Breast Cancer Using Edge-Weighted Texture Features of Histopathology Images

Arslan Akram1,2, Javed Rashid2,3,4, Fahima Hajjej5, Sobia Yaqoob1,6, Muhammad Hamid7, Asma Irshad8, Nadeem Sarwar9,*

1 Department of Computer Science and Information Technology, Superior University, Lahore, 54000, Pakistan
2MLC Lab, Maharban House, House # 209, Zafar Colony, Okara, 56300, Pakistan
3 Information Technology Services, University of Okara, Okara, 56300, Pakistan
4 Department of CS&SE, International Islamic University, Islamabad, 44000, Pakistan
5 Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia
6 Department of Computer Science, University of Okara, Okara, 56300, Pakistan
7 Department of Statistics and Computer Science, University of Veterinary and Animal Sciences, Lahore, Punjab, 54000, Pakistan
8 School of Biochemistry and Biotechnology, University of the Punjab, Lahore, 54000, Pakistan
9 Department of Computer Science, Bahria University, Lahore Campus, Lahore, 54600, Pakistan

* Corresponding Author: Nadeem Sarwar. Email: email

TSP_CMC_41558.pdf

  • 527

    View

  • 207

    Download

  • 1

    Like

Share Link