Abstract
The paper proposes an ensemble model to segment lateral ventricles from 3D Magnetic Resonance Imaging (MRI) brain scan. Thresholding and Active Contour techniques combining with a noise removal method were applied to segment lateral ventricles from the brain images. The experiments were conducted by segmenting 73 MRI brain scans using our proposed model and then comparing their volumes to those using manual model conducted by an expert. The experimental results indicated that the proposed model segmented lateral ventricles as excellent as the manual model in terms of accuracy but outperformed the manual model in terms of time performance. The contribution of the paper is that the segmented lateral ventricles can be used for further analysis such as medical condition classification.
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Dr.Vanessa Sluming, a leading neuroimaging scientist at University of Liverpool.
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Udomchaiporn, A., Lertrungwichean, K., Klinkasen, P., Nuchprasert, C. (2020). Ensemble Model for Segmentation of Lateral Ventricles from 3D Magnetic Resonance Imaging. In: Boonyopakorn, P., Meesad, P., Sodsee, S., Unger, H. (eds) Recent Advances in Information and Communication Technology 2019. IC2IT 2019. Advances in Intelligent Systems and Computing, vol 936. Springer, Cham. https://doi.org/10.1007/978-3-030-19861-9_16
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