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The Imaging Science Journal Volume 62, 2014 - Issue 5
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Research Paper

Brain segmentation in magnetic resonance human head scans using multi-seeded region growing

K. SomasundaramDepartment of Computer Science and ApplicationsGandhigram Rural Institute, Deemed University, Gandhigram, Tamil Nadu624 302, India
&
P. KalavathiDepartment of Computer Science and ApplicationsGandhigram Rural Institute, Deemed University, Gandhigram, Tamil Nadu624 302, IndiaCorrespondence[email protected]
Pages 273-284 | Received 23 May 2013, Accepted 01 Nov 2013, Published online: 19 Dec 2013

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S. Tchoketch Kebir, S. Mekaoui & M. Bouhedda. (2019) A fully automatic methodology for MRI brain tumour detection and segmentation. The Imaging Science Journal 67:1, pages 42-62.
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Articles from other publishers (13)

S. Praveenkumar, T. Kalaiselvi & Karuppanagounder Somasundaram. (2023) Methods of Brain Extraction from Magnetic Resonance Images of Human Head: A Review. Critical Reviews in Biomedical Engineering 51:4, pages 1-40.
Crossref
Maria Popa. (2023) An 3D MRI Unsupervised Graph-based Skull Stripping Algorithm. Procedia Computer Science 225, pages 1682-1690.
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Elisabeth Thomas & S. N. Kumar. 2023. Computational Intelligence in Pattern Recognition. Computational Intelligence in Pattern Recognition 309 321 .
Jiale Wang & Daxi Wang. (2021) Brain MRI based on Otsu and region growth for ventricle segmentation. Brain MRI based on Otsu and region growth for ventricle segmentation.
T. Priya, P. Kalavathi, V. B. Surya Prasath & R. Sivanesan. (2021) Brain tissue volume estimation to detect Alzheimer’s disease in magnetic resonance images. Soft Computing 25:15, pages 10007-10017.
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K. Ezhilarasan, S. Praveenkumar, K. Somasundaram, T. Kalaiselvi, S. Magesh, S. Kiruthika & A. Jeevarekha. (2021) Automatic brain extraction from MRI of human head scans using Helmholtz free energy principle and morphological operations. Biomedical Signal Processing and Control 64, pages 102270.
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Anam Fatima, Ahmad Raza Shahid, Basit Raza, Tahir Mustafa Madni & Uzair Iqbal Janjua. (2020) State-of-the-Art Traditional to the Machine- and Deep-Learning-Based Skull Stripping Techniques, Models, and Algorithms. Journal of Digital Imaging 33:6, pages 1443-1464.
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K. Somasundaram, P. A. Kalaividya, T. Kalaiselvi, R. Krishnamoorthy & S. Praveenkumar. (2018) Edge detection using Chebyshev's orthogonal polynomial and brain extraction from magnetic resonance images of human head. International Journal of Imaging Systems and Technology 29:2, pages 110-120.
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N. Sri Madhava Raja, S. L. Fernandes, Nilanjan Dey, Suresh Chandra Satapathy & V. Rajinikanth. (2018) Contrast enhanced medical MRI evaluation using Tsallis entropy and region growing segmentation. Journal of Ambient Intelligence and Humanized Computing.
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Evgin Goceri & Caner Songul. (2017) Automated detection and extraction of skull from MR head images: Preliminary results. Automated detection and extraction of skull from MR head images: Preliminary results.
P. Kalavathi & V. B. Surya Prasath. (2015) Methods on Skull Stripping of MRI Head Scan Images—a Review. Journal of Digital Imaging 29:3, pages 365-379.
Crossref
P. Kalavathi & V. B. Surya Prasath. (2016) Automatic segmentation of cerebral hemispheres in MR human head scans. International Journal of Imaging Systems and Technology 26:1, pages 15-23.
Crossref
V. B. Surya Prasath & P. Kalavathi. 2016. Advances in Signal Processing and Intelligent Recognition Systems. Advances in Signal Processing and Intelligent Recognition Systems 571 580 .

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