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Journal of Medical Engineering & Technology Volume 36, 2012 - Issue 5
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Innovation

A region-based segmentation of tumour from brain CT images using nonlinear support vector machine classifier

A. Padma NanthagopalTiruchy Anna University, Tiruchy, IndiaCorrespondence[email protected]
&
R. Sukanesh RajamonyThiagarajar College of Engineering, Madurai, India
Pages 271-277 | Received 30 Nov 2011, Accepted 02 Apr 2012, Published online: 24 May 2012

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Kimia Rezaei, Hamed Agahi & Azar Mahmoodzadeh. (2022) A Weighted Voting Classifiers Ensemble for the Brain Tumors Classification in MR Images. IETE Journal of Research 68:5, pages 3829-3842.
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Articles from other publishers (13)

Manas K Nag, Subhranil Koley, Anup K Sadhu, Pranab K Dutta, Barbara Holsouser, Stephen Ashwal & Nirmalya Ghosh. (2023) A computer-aided tool for automatic volume estimation of hematoma using non-contrast brain CT scans. Biomedical Physics & Engineering Express 9:4, pages 045011.
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Luyao Wang, Youyuan Shi, Jingzhen Jiang, Chan Li, Hengrui Zhang, Xinhui Zhang, Tao Jiang, Liang Wang, Yinyan Wang & Lin Feng. (2022) Micro‐Nanocarriers Based Drug Delivery Technology for Blood‐Brain Barrier Crossing and Brain Tumor Targeting Therapy. Small 18:45.
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Monika Kobus, Karolina Sobczak, Mariusz Jangas, Adrian Świątek & Michał Strzelecki. 2022. Information Technology in Biomedicine. Information Technology in Biomedicine 168 180 .
Tahia Tazin, Sraboni Sarker, Punit Gupta, Fozayel Ibn Ayaz, Sumaia Islam, Mohammad Monirujjaman Khan, Sami Bourouis, Sahar Ahmed Idris & Hammam Alshazly. (2021) A Robust and Novel Approach for Brain Tumor Classification Using Convolutional Neural Network. Computational Intelligence and Neuroscience 2021, pages 1-11.
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Cecilia-Irene Loeza-Mejía, Eddy Sánchez-DelaCruz & Mirta Fuentes-Ramos. 2021. Advances in Computational Intelligence. Advances in Computational Intelligence 341 352 .
Fahmi Fahmi, Fitri Apriyulida, Irina Kemala Nasution & Sawaluddin. (2020) Automatic Detection of Brain Tumor on Computed Tomography Images for Patients in the Intensive Care Unit. Journal of Healthcare Engineering 2020, pages 1-13.
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M.M. Elmohr, D. Fuentes, M.A. Habra, P.R. Bhosale, A.A. Qayyum, E. Gates, A.I. Morshid, J.D. Hazle & K.M. Elsayes. (2019) Machine learning-based texture analysis for differentiation of large adrenal cortical tumours on CT. Clinical Radiology 74:10, pages 818.e1-818.e7.
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Kimia Rezaei, Hamed Agahi & Azar Mahmoodzadeh. (2019) Multi‐objective differential evolution‐based ensemble method for brain tumour diagnosis. IET Image Processing 13:9, pages 1421-1430.
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Samaneh Kazemifar, Anjali Balagopal, Dan Nguyen, Sarah McGuire, Raquibul Hannan, Steve Jiang & Amir Owrangi. (2018) Segmentation of the prostate and organs at risk in male pelvic CT images using deep learning. Biomedical Physics & Engineering Express 4:5, pages 055003.
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A. Padma & N. Giridharan. (2016) Performance comparison of texture feature analysis methods using PNN classifier for segmentation and classification of brain CT images. International Journal of Imaging Systems and Technology 26:2, pages 97-105.
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M. Catherine PietanzaEthan M. BaschAlex LashLawrence H. SchwartzMichelle S. GinsbergBinsheng ZhaoMarwan ShoueryMary ShawLauren J. RogakManda WilsonAaron GabowMarcia LatifKai-Hsiung LinQinfei WuSamantha L. KassClaire P. MillerLeslie TysonDyana K. SumnerAlison Berkowitz-HergiantoCamelia S. SimaMark G. Kris. (2013) Harnessing Technology to Improve Clinical Trials: Study of Real-Time Informatics to Collect Data, Toxicities, Image Response Assessments, and Patient-Reported Outcomes in a Phase II Clinical Trial. Journal of Clinical Oncology 31:16, pages 2004-2009.
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A. Padma Nanthagopal & R. Sukanesh. (2013) Wavelet statistical texture features‐based segmentation and classification of brain computed tomography images. IET Image Processing 7:1, pages 25-32.
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Maher AlbitarAlfred Bacharach. (2012) Company Profile: NeoGenomics Laboratories, Inc.. Personalized Medicine 9:8, pages 795-799.
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