Computer-Aided Diagnosis of Diagnostically Challenging Lesions in Breast MRI: A Comparison between a Radiomics and a Feature-Selective Approach

著录项

• 来源
  《Sensing and analysis technologies for biomedical and cognitive applications 2016》|2016年|98710H.1-98710H.7|共7页
• 会议地点 Baltimore MD(US)
• 作者

  Sebastian Hoffmann; Marc Lobbes; Ivo Houben; Katja Pinker-Domenig; Georg Wengert; Bernhard Burgeth; Uwe Meyer-Baese; Guillaume Lemaitre; Anke Meyer-Baese;

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• 作者单位

  Department of Scientific Computing, Florida State University, Tallahassee, Florida 32310-4120, USA,Saarland University, 66041 Saarbruecken, Germany;

  Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands;

  Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands;

  Medical University of Vienna, Vienna, Austria,Memorial Sloan-Kettering Cancer Center, New York, USA;

  Medical University of Vienna, Vienna, Austria;

  Saarland University, 66041 Saarbruecken, Germany;

  Department of Electrical and Computer Engineering, Florida State University, Tallahassee, Florida 32310-4120, USA;

  Univ Bourgogne, LE2I UMR CNRS 6306, F-71200 Le Creusot, France;

  Department of Scientific Computing, Florida State University, Tallahassee, Florida 32310-4120, USA,Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands;

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• 会议组织
• 原文格式 PDF
• 正文语种 eng
• 中图分类
• 关键词

  Diagnostically challenging lesions; morphological and kinetic features; classification; computer-aided diagnosis; radiomics; breast magnetic resonance imaging;

  机译：诊断上具有挑战性的病变；形态和动力学特征；分类;计算机辅助诊断；放射学乳腺磁共振成像;