A Clinical Support System for Brain Tumor Classification Using Soft Computing Techniques.
A brain tumor is an accumulation of abnormal cells in human brain. As tumor increases in size, it induces brain damage. Hence it is essential to diagnose the type of brain tumor. The effective modality used for brain tumor diagnose is MRI because of its remarkable image resolution, the speed of acqu...
| Publicado en: | Journal of Medical Systems Vol. 43; no. 5 |
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| Autores principales: | , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
May2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=136129224&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 136129224 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: May2019 vid: 43 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 136129224 136129224 136129224 10.1007/s10916-019-1266-9 136129224 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A Clinical Support System for Brain Tumor Classification Using Soft Computing Techniques. aug: au: Arasi, P. Rupa Ezhil Suganthi, M. affil: Department of Computer Science and Engineering, Muthayammal Engineering College, Rasipuram, Namakkal (Dt), 637 408, Tamilnadu, India sug: subj: Brain Neoplasms Classification Magnetic Resonance Imaging Equipment and Supplies Image Processing, Computer Assisted Methods Computing Methodologies Decision Support Systems, Clinical Human Algorithms Software Models, Statistical Brain Neoplasms Radiography Brain Neoplasms Pathology Tumor Burden Evaluation Neoplasm Staging Physicians Education ab: A brain tumor is an accumulation of abnormal cells in human brain. As tumor increases in size, it induces brain damage. Hence it is essential to diagnose the type of brain tumor. The effective modality used for brain tumor diagnose is MRI because of its remarkable image resolution, the speed of acquisition, and high safety profile for patients. The analysis of brain MRI is an important part of patient care and decision. Hence in the proposed Clinical Support System, the brain MRI image is preprocessed using Genetic Optimized Median Filter followed by brain tumor region segmentation using Hierarchical Fuzzy Clustering Algorithm. The features of the tumor region are extracted through GLCM feature extraction method. Lion Optimized Boosting Support Vector machine model is used for further classification of tumor by Brain Tumor Image Segmentation (BraTS) dataset. Hence the proposed clinical support system provides an integrated model for Detection and classification of brain tumor which assists the doctors in appropriate evaluation of tumor. pubtype: Academic Journal doctype: diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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