Improvement of Automated Detection Method of Lacunar Infarcts in Brain MR Images

The detection of asymptomatic lacunar infarcts on magnetic resonance (MR) images are important tasks for radiologists to ensure the prevention of severe cerebral infarction. However, their accurate identification is often difficult task. Therefore, the purpose of this study is to develop a computer-...

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Veröffentlicht in:	2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2007-01, Vol.2007, p.1599-1602
Hauptverfasser:	Uchiyama, Y., Yokoyama, R., Ando, H., Asano, T., Kato, H., Yamakawa, H., Hara, T., Iwama, T., Hoshi, H., Fujita, H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Aged Algorithms Aneurysm Artificial Intelligence Biomedical imaging Brain - pathology Brain Infarction - diagnosis Computer-Aided Diagnosis Diseases Female Hospitals Humans Image databases Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Lacunar infarcts Magnetic resonance Magnetic resonance imaging Magnetic resonance imaging (MRI) Magnetic Resonance Imaging - methods Male Medical diagnostic imaging Middle Aged Modular classifier Pattern Recognition, Automated - methods Reproducibility of Results Sensitivity and Specificity Spatial resolution Tellurium
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