Combining deep and handcrafted image features for MRI brain scan classification

• Main Authors: Hasan, Ali M., Jalab, Hamid A., Meziane, Farid, Kahtan, Hasan, Al-Ahmad, Ahmad Salah
• Format: Article
• Language: English
• Published: IEEE 2019
• Subjects: Q Science (General); QA Mathematics; R Medicine (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/25692/7/Combining%20deep%20and%20handcrafted%20image%20features%20for%20MRI%20.pdf; http://umpir.ump.edu.my/id/eprint/25692/; https://doi.org/10.1109/ACCESS.2019.2922691; https://doi.org/10.1109/ACCESS.2019.2922691

Progresses in the areas of artificial intelligence, machine learning, and medical imaging technologies have allowed the development of the medical image processing field with some astonishing results in the last two decades. These innovations enabled the clinicians to view the human body in high-res...