講演名 | 2007-01-26 A comparison study of feature selection algorithms for automatic differentiation of obstructive lung diseases , |
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抄録(英) | The study was conducted to test and compare the performance of several feature selection methods for the differentiation among obstructive lung diseases based on the features from texture and shape analysis using HRCT (High Resolution Computerized Tomography) images. Five different types of feature selection methods were tested and compared based on the classification performance and clinical applicability. Based on the experimental results, we investigate characteristics of those feature selection methods and evaluate in terms of classification accuracy, robustness, number of iteration and computation time. Especially, SFFS give users good advantage that can terminate the algorithm earlier without accuracy lost. |
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キーワード(英) | Bayesian classifier / Feature Selection / Obstructive Lung Disease / Support vector machine |
資料番号 | MI2006-104 |
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研究会情報 | |
研究会 | MI |
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開催期間 | 2007/1/19(から1日開催) |
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申込み研究会 | Medical Imaging (MI) |
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本文の言語 | ENG |
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サブタイトル(和) | |
タイトル(英) | A comparison study of feature selection algorithms for automatic differentiation of obstructive lung diseases |
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キーワード(1)(和/英) | / Bayesian classifier |
第 1 著者 氏名(和/英) | / Yu-Sub Sung |
第 1 著者 所属(和/英) | Department of Industrial Engineering, Seoul National University College of Engineering |
発表年月日 | 2007-01-26 |
資料番号 | MI2006-104 |
巻番号(vol) | vol.106 |
号番号(no) | 509 |
ページ範囲 | pp.- |
ページ数 | 4 |
発行日 |