Neural network and multi-fractal dimension features for breast cancer classification from ultrasound images

• Main Authors: Mohammed, Mazin Abed, Al-Khateeb, Belal, Rashid, Ahmed Noori, Ahmed Ibrahim, Dheyaa, Abd Ghani, Mohd Khanapi, A. Mostafa, Salama
• Format: Article
• Language: English
• Published: Elsevier 2018
• Subjects: QA76 Computer software; TA Engineering (General). Civil engineering (General); TA168 Systems engineering
• Online Access: http://eprints.uthm.edu.my/5145/1/AJ%202018%20%28848%29%20Neural%20network%20and%20multi-fractal%20dimension%20features%20for%20breast%20cancer%20classification%20from%20ultrasound%20images.pdf; http://eprints.uthm.edu.my/5145/
• Institution: Universiti Tun Hussein Onn Malaysia

Breast cancer is considered to be one of the most threatening issues in clinical practice. However, existing breast cancer diagnosis methods face questions of complexity, cost, human-dependency, and inaccuracy. Recently, many computerized and interdisciplinary systems have been developed to avoid hu...