Nodule Detection in 3D Chest CT Images Using 2nd Order Autocorrelation Features and GA Template Matching(Joint Session 1)

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概要

• 論文の詳細を見る

• We have developed a new recognition approach using 2nd order autocorrelation and multi-regression analysis to detect a small (<7mm in diameter) lung nodules in chest 3D CT images. By combining our previous detection method of the template matching based on genetic algorithm, the detection performance was 94% true-positive rate at 2.05 false-positive marks per case using leave-one-out study.

• 社団法人電子情報通信学会の論文
• 2005-09-15

著者

• Fujita Hiroshi

  Department of Transfusion Medicine, Tokyo Metropolitan Bokutoh Hospital

• Zhou Xiangrong

  Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Science,

• Hara Takeshi

  Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G

• Hara Takeshi

  Graduate School Of Medicine Gifu University

• Fujita Hiroshi

  Department Of Cardiology Kyoto Second Red Cross Hospital

• Fujita Hiroshi

  Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G

• HOSHI Hiroaki

  Department of Radiology, Gifu University School of Medicine

• KIRYU Takuji

  Department of Radiology, Gifu University School of Medicine

• YOKOYAMA Ryujiro

  Department of Intelligent Image Information, Graduate School of Medicine, Gifu University

• Hoshi Hiroaki

  Gifu Univ. Graduate School Of Medicine Gifu Jpn

• Yokoyama Ryujiro

  Department Of Intelligent Image Information Graduate School Of Medicine Gifu University

• Tsai Du-yih

  School Of Health Sciences Niigata University

• Tsai Du

  Department Of Electrical Engineering Faculty Of Engineering Gifu University

• Tsai Du

  Department Of Radiological Technology Faculty Of Medicine Niigata University

• Fujita H

  Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G

• Fujita Hiroshi

  Dept. Of Intelligent Image Information Graduate School Of Medicine Gifu University

• Zhang X

  Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Science Gr

• Kiryu Takuji

  Department Of Radiology Gifu University Graduate School Of Medicine

• Hara T

  Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G

• Hoshi Hiroaki

  Dept. Of Radiology Graduate School Of Medicine Gifu University

• Hoshi H

  Department Of Radiology Miyazaki Medical College

• Hoshi Hiroaki

  Department Of Radiology Gifu University

• Hirose Motonari

  Department of Intelligent Image Information, Gifu University Graduate School of Medicine

• LEE Yongbum

  Department of Radiological Technology, Faculty of Medicine, Niigata University

• Zhou Xiangrong

  Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G

• Zhou Xiangrong

  Gifu Univ. Graduate School Of Medicine Gifu Jpn

• Zhou Xiangrong

  Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Science Gi

• HAYASHI Hideki

  Gifu Municipal Hospital

• Lee Yongbum

  Department Of Radiological Technology Faculty Of Medicine Niigata University

• Fujita Hiroshi

  Graduate School Of Medicine Gifu University

• Yokoyama Ryujiro

  Department Of Radiology Gifu University School Of Medicine

• Hara Takeshi

  Department Of Animal Resource Sciences Graduate School Of Agricultural And Life Sciences The Univers

• Hirose Motonari

  Department Of Intelligent Image Information Gifu University Graduate School Of Medicine

• Fujita Hiroshi

  Department Of Applied Physics Faculty Of Engineering University Of Tokyo

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