Classification of Benign/Malignant PNGGOs using K-means algorithm in MDCT Images : A Preliminary Study(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))

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概要

• 論文の詳細を見る

• Lung cancer is one of the most prevalent diseases in the world. Recently, PNGGOs (Pure nodular ground-glass opacity) have been reported to increasing aspect for all CT-detected pulmonary nodules. Moreover, the malignancy rate of PNGGOs is a considerable proportion of benign diseases. In this study, we have developed a computerized classification scheme of PNGGOs malignancy. Segmentation of PNGGOs was performed semi-automatically. After that, the histogram based statistical features and region based features of benign and malignant GGO was extracted. Finally, K-means classifier was applied. Experiment was performed employing 12 CT image sets and 91.67% of accuracy was achieved.

• 社団法人電子情報通信学会の論文
• 2009-01-12

著者

• Kim Jong

  Interdisciplinary Program in Radiation Applied Life Science, Seoul National University College of Me

• Park Chang

  Department of Chemical and Biochemical Engineering, Dongguk University

• Kim Jong

  Inter-university Semiconductor Research Center Seoul National University:school Of Electrical Engine

• PARK Sang

  Inter-University Semiconductor Research Center and School of Electrical Engineering and Computer Sci

• Park Chang

  Department Of Anatomic Pathology Chonnam National University Medical School

• Park Chang

  Department Of Radiology Seoul National University Hospital

• Son Wooram

  Interdisciplinary Program in Radiation Applied Life Science, Seoul National University of Medicine

• Son Wooram

  Interdisciplinary Program In Radiation Applied Life Science Seoul National University Of Medicine

• Park Sang

  Interdisciplinary Program In Radiation Applied Life Science Seoul National University Of Medicine

• Kim Jong

  Interdisciplinary Program In Radiation Applied Life Science Seoul National University Of Medicine

• Kim Jong

  Inter-University Semiconductor Research Center and School of Electrical Engineering and Computer Science, Seoul National University, San 56-1, Sillim-dong, Gwanak-ku, Seoul 151-742, Republic of Korea

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