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- 저자 : M. Usman Ghani Khan (검색결과 1 건)
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Computer-assisted brain tumor type discrimination using magnetic resonance imaging features
Sajid Iqbal,M. Usman Ghani Khan,Tanzila Saba,Amjad Rehman 대한의용생체공학회 2018 Biomedical Engineering Letters (BMEL) Vol.8 No.1
Medical imaging plays an integral role in theidentification, segmentation, and classification of braintumors. The invention of MRI has opened new horizons forbrain-related research. Recently, researchers have shiftedtheir focus towards applying digital image processingtechniques to extract, analyze and categorize brain tumorsfrom MRI. Categorization of brain tumors is defined in ahierarchical way moving from major to minor ones. Aplethora of work could be seen in literature related to theclassification of brain tumors in categories such as benignand malignant. However, there are only a few worksreported on the multiclass classification of brain imageswhere each part of the image containing tumor is taggedwith major and minor categories. The precise classificationis difficult to achieve due to ambiguities in images andoverlapping characteristics of different type of tumors. Inthe current study, a comprehensive review of recentresearch on brain tumors multiclass classification usingMRI is provided. These multiclass classification studies arecategorized into two major groups: XX and YY and eachgroup are further divided into three sub-groups. A set ofcommon parameters from the reviewed works is extractedand compared to highlight the merits and demerits ofindividual works. Based on our analysis, we provide a setof recommendations for researchers and professionalsworking in the area of brain tumors classification.
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