Fully automatic model-based segmentation and classification approach for MRI brain tumor using artificial neural networks

• Main Authors: Arunkumar, N., AbedMohammed, Mazin, A. Mostafa, Salama, Ahmed Ibrahim, Dheyaa, Rodrigues, Joel J.P.C., Albuquerque, Victor Hugo C. de
• Format: Article
• Language: English
• Published: John Wiley and Sons 2018
• Subjects: QA75 Electronic computers. Computer science; T Technology (General); TK7800-8360 Electronics
• Online Access: http://eprints.uthm.edu.my/4964/1/AJ%202020%20%2845%29.pdf; http://eprints.uthm.edu.my/4964/; https://doi.org/10.1002/cpe.4962
• Institution: Universiti Tun Hussein Onn Malaysia

The accuracy of brain tumor diagnosis based on medical images is greatly affected by the segmentation process. The segmentation determines the tumor shape, location, size, and texture. In this study, we proposed a new segmentation approach for brain tissues usingMR images. The method includes three...