지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2012.12
- 수록면
- 399 - 405 (7page)
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초록· 키워드
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The brain is the body"s most organized and controlled organ, and it governs various psychological and mental functions. A brain abnormality could greatly affect one"s physical and mental abilities, and consequently one"s social life. Brain disorders can be broadly categorized into three main afflictions: stroke, brain tumor, and dementia. Among these, stroke is a common disease that occurs owing to a disorder in blood flow, and it is accompanied by a sudden loss of consciousness and motor paralysis. The main types of strokes are infarction and hemorrhage. The exact diagnosis and early treatment of an infarction are very important for the patient"s prognosis and for the determination of the treatment direction. In this study, texture features were analyzed in order to develop a prototype auto-diagnostic system for infarction using computer auto-diagnostic software. The analysis results indicate that of the six parameters measured, the average brightness, average contrast, flatness, and uniformity show a high cognition rate whereas the degree of skewness and entropy show a low cognition rate. On the basis of these results, it was suggested that a digital CT image obtained using the computer auto-diagnostic software can be used to provide valuable information for general CT image auto-detection and diagnosis for pre-reading. This system is highly advantageous because it can achieve early diagnosis of the disease and it can be used as supplementary data in image reading. Further, it is expected to enable accurate medical image detection and reduced diagnostic time in final-reading.
목차
서론
대상 및 방법
결과
고찰
REFERENCES
참고문헌 (14)
참고문헌 신청
Carbonell F / 2011 / Global and system-specific resting-state FMRI fluctuations are uncorrelated: principal component analysis reveals anti-correlated networks / Brain Connect 1:496~510
Chen X / 2009 / Empirical capacity of a recognition channel for single- and multipose object recognition under the constraint of PCA encoding / IEEE Trans Image Process 18:636~651
Chen XJ / 2009 / Study on application of multispectral image texture to discriminating rice categories based on wavelet packet and support vector machine / Guang Pu Xue Yu Guang Pu Fen Xi 29:222~225
El Yazaji M / 2002 / Validity of the depressive dimension extracted from principal component analysis of the PANSS in drug-free patients with schizophrenia / Schizophr Res 56:121~127
Gletsos M / 2003 / A computer-aided diagnostic system to characterize CT focal liver lesions: design and optimization of a neural network classifier / IEEE Trans Inf Technol Biomed 7:153~162
Chen X / 2009 / Empirical capacity of a recognition channel for single- and multipose object recognition under the constraint of PCA encoding / IEEE Trans Image Process 18:636~651
Chen XJ / 2009 / Study on application of multispectral image texture to discriminating rice categories based on wavelet packet and support vector machine / Guang Pu Xue Yu Guang Pu Fen Xi 29:222~225
El Yazaji M / 2002 / Validity of the depressive dimension extracted from principal component analysis of the PANSS in drug-free patients with schizophrenia / Schizophr Res 56:121~127
Gletsos M / 2003 / A computer-aided diagnostic system to characterize CT focal liver lesions: design and optimization of a neural network classifier / IEEE Trans Inf Technol Biomed 7:153~162
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UCI(KEPA) : I410-ECN-0101-2014-510-000614362