Pseudo-colour with K-means Clustering Algorithm for Acute Ischemic Stroke Lesion Segmentation in Brain MRI

• Main Authors: Abang Mohd Arif Anaqi, Abang Isa, Kuryati, Kipli, Ahmad Tirmizi, Jobli, Muhammad Hamdi, Mahmood, Siti Kudnie, Sahari, Aditya Tri, Hernowo, Sinin, Hamdan
• Format: Article
• Language: English
• Published: Universiti Putra Malaysia Press 2021
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://ir.unimas.my/id/eprint/35471/1/Pseudo.pdf; http://ir.unimas.my/id/eprint/35471/; http://www.pertanika.upm.edu.my/resources/files/Pertanika%20PAPERS/JST%20Vol.%2029%20(2)%20Apr.%202021/03%20JST-2213-2020.pdf; https://doi.org/10.47836/pjst.29.2.03

Segmentation of an acute ischemic stroke from a single modality of a greyscale magnetic resonance imaging (MRI) is an essential and challenging task. Recently, there are several numbers of related works on the automatic segmentation of infarct lesion from the input image and give a high accuracy...