Automatic Brain Lesion Detection And Classification Based On Diffusion-Weighted Imaging Using Adaptive Thresholding And A Rule-Based Classifier

• Main Authors: Mohd Saad, Norhashimah, Abu-Bakar, Syed A.R., Muda, A.F., Muda, Sobri, Ahmad Radzi, Syafeeza
• Format: Article
• Language: English
• Published: IJET 2014
• Subjects: T Technology (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utem.edu.my/id/eprint/21035/2/IJET14-06-06-096.pdf; http://eprints.utem.edu.my/id/eprint/21035/; https://pdfs.semanticscholar.org/cb78/bf7ec4b3bd0a022165163e3383d1b626acd7.pdf
• Institution: Universiti Teknikal Malaysia Melaka

In this paper,a brain lesion detection and classification approach using thresholding and a rule-based classifier is proposed.Four types of brain lesions based on diffusion-weighted imaging i.e. acute stroke,solid tumor, chronic stroke,and necrosis are analyzed.The analysis is divided into four stag...