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/

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...