Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/122067
Author(s): Nilanjan Dey
V. Rajinikanth
Fuqian Shi
João Manuel R. S. Tavares
Luminita Moraru
K. Arvind Karthik
Hong Lin
K. Kamalanand
C. Emmanuel
Title: Social-Group-Optimization based tumor evaluation tool for clinical brain MRI of Flair/diffusion-weighted modality
Issue Date: 2019-07
Abstract: Brain tumor is one of the harsh diseases among human community and is usually diagnosed with medical imaging procedures. Computed-Tomography (CT) and Magnetic-Resonance-Image (MRI) are the regularly used non-invasive methods to acquire brain abnormalities for medical study. Due to its importance, a significant quantity of image assessment and decision-making procedures exist in literature. This article proposes a two-stage image assessment tool to examine brain MR images acquired using the Flair and DW modalities. The combination of the Social-Group-Optimization (SGO) and Shannon's-Entropy (SE) supported multi-thresholding is implemented to pre-processing the input images. The image post-processing includes several procedures, such as Active Contour (AC), Watershed and region-growing segmentation, to extract the tumor section. Finally, a classifier system is implemented using ANFIS to categorize the tumor under analysis into benign and malignant. Experimental investigation was executed using benchmark datasets, like ISLES and BRATS, and also clinical MR images obtained with Flair/DW modality. The outcome of this study confirms that AC offers enhanced results compared with other segmentation procedures considered in this article. The ANFIS classifier obtained an accuracy of 94.51% on the used ISLES and real clinical images. (C) 2019 Nalecz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences.
Subject: Ciências Tecnológicas, Ciências médicas e da saúde
Technological sciences, Medical and Health sciences
Scientific areas: Ciências médicas e da saúde
Medical and Health sciences
URI: https://hdl.handle.net/10216/122067
Document Type: Artigo em Revista Científica Internacional
Rights: openAccess
Appears in Collections:FEUP - Artigo em Revista Científica Internacional

Files in This Item:
File Description SizeFormat 
348986.1.pdfPaper Draft1.21 MBAdobe PDFThumbnail
View/Open
348986.jpg1st Page334.59 kBJPEGThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.