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KMID : 0357520130360020141
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Journal of Radiological Science and Technology
2013 Volume.36 No. 2 p.141 ~ p.148
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Intracerebral Hemorrhage Auto Recognition in Computed Tomography Images
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Choi Seok-Yoon
Kang Se-Sik
Kim Chang-Soo
Kim Jung-Hoon
Kim Dong-Hyun
Ye Soo-Young
Ko Seong-Jin
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Abstract
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The CT examination sometimes fail to localize the cerebral hemorrhage part depending on the seriousness and may embarrass the pathologist if he/she is not trained enough for emergencies. Therefore, an assisting role is necessary for examination, automatic and quick detection of the cerebral hemorrhage part, and supply of the quantitative information in emergencies. the computer based automatic detection and recognition system may be of a great service to the bleeding part detection. As a result of this research, we succeeded not only in automatic detection of the cerebral hemorrhage part by grafting threshold value handling, morphological operation, and roundness calculation onto the bleeding part but also in development of the PCA based classifier to screen any wrong choice in the detection candidate group. We think if we apply the new developed system to the cerebral hemorrhage patient in his critical condition, it will be very valuable data to the medical team for operation planning.
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KEYWORD
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Intracerebral hemorrhage, Auto recognition, Classifier, Computed tomography
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