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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19457
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
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Published Paper Details
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| Paper Title: | Brain Tumour Segmentation |
| Authors Name: | Nabanita Nath Chowdhury , Shaikh Mohd Sarfaraz , Khan Kainat , Qureshi Afnan Arif |
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| Author Reg. ID: |
IJRTI_170209
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| Published Paper Id: | IJRTI1705015 |
| Published In: | Volume 2 Issue 5, May-2017 |
| DOI: | |
| Abstract: | Tumor is unwanted growth of unhealthy cell which increase intracranial pressure within skull. Medical image processing is the most challenging and innovative field specially MRI imaging modalities. The strategy presented involves preprocessing, segmentation, feature extraction, detection of tumor and its classification from MRI scanned brain images. Magnetic Resonance Imaging (MRI) is a non-invasive imaging modalities which is best suited for the detection of brain tumor. The segmentation method proposed in this paper is fuzzy c-means (FCM) which can improve medical image segmentation. The algorithm is easy to handle and identification of tumor and its classification in scanned region has been done accurately. A user friendly environment has been created by using GUI in MATLAB resulting in an automated brain tumor detection system for MRI scanned images. By using the GUI tool, the physician and other practitioners are facilitated in detecting the tumor and its geometrical feature extraction. Multi-SVM has used to classify the various type of tumors like Gliomas, Metastasis, Astrocytoma etc. In this work, Multi Support Vector Machines (m-SVMs) has been proposed and applied to brain scanned image slices classification using features derived from slices. This work helps in recognition of tumor which in turn saves the precious time of medical diagnostic to diagnose the tumor automatically in short span of time. |
| Keywords: | MRI(Magnetic Resonance Imaging), FCM(fuzzy c-means), SVM(Support Vector Machines), Preprocessing, Segmentation, Gliomas, Metastasis, Astrocytoma. |
| Cite Article: | "Brain Tumour Segmentation", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 5, page no.106 - 109, May-2017, Available :http://www.ijrti.org/papers/IJRTI1705015.pdf |
| Downloads: | 000205259 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI1705015
Registration ID:170209
Published In: Volume 2 Issue 5, May-2017
DOI (Digital Object Identifier):
Page No: 106 - 109 Country: Mumbai, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1705015 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1705015 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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