Automated approach for detection of ischemic stroke using Delaunay Triangulation in brain MRI images

• Published in: Computers in biology and medicine Vol. 103; pp. 116 - 129
• Main Authors: Subudhi, Asit, Acharya, U. Rajendra, Dash, Manasa, Jena, Subhransu, Sabut, Sukanta
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.12.2018; Elsevier Limited
• Subjects: Accuracy; Algorithms; Artificial intelligence; Automation; Brain; Classifiers; Clustering; Delaunay triangulation; Feature extraction; FODPSO; Identification; Image detection; Image processing; Image segmentation; Internal Medicine; Ischemia; Ischemic stroke; Lesions; Magnetic resonance imaging; Medical imaging; Methods; Morphology; Neuroimaging; Other; Particle swarm optimization; Random forest; Segmentation; Similarity; Stroke; Support vector machines; Delaunay triangulation; Random forest; Ischemic stroke; Segmentation; FODPSO

It is difficult to develop an accurate algorithm to detect the stroke lesions using magnetic resonance imaging (MRI) images due to variation in different lesion sizes, variation in morphological structure, and similarity in intensity of lesion with normal brain in three types of stroke, namely parti...