Medical Biometrics

Second International Conference, ICMB 2010, Hong Kong, China, June 28-30, 2010. Proceedings

  • David Zhang
  • Milan Sonka
Conference proceedings ICMB 2010

DOI: 10.1007/978-3-642-13923-9

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6165)

Table of contents

  1. Front Matter
  2. Feature Extraction and Classification

    1. Daniel Duarte Abdala, Xiaoyi Jiang
      Pages 1-10
    2. Fangmei Chen, David Zhang
      Pages 21-32
    3. Haifen Chen, Guangming Lu, Dongmin Guo, David Zhang
      Pages 33-41
    4. Dongmin Guo, David Zhang, Naimin Li, Lei Zhang, Jianhua Yang
      Pages 52-63
    5. Yuji Hatanaka, Atsushi Noudo, Chisako Muramatsu, Akira Sawada, Takeshi Hara, Tetsuya Yamamoto et al.
      Pages 64-72
    6. Wei Jia, Rong-Xiang Hu, Jie Gui, Ying-Ke Lei
      Pages 83-93
    7. Wang Junhui, Ma Lin, Wang Kuanquan, Li Naimin
      Pages 94-103
    8. Han-Lin Li, Yao-Huei Huang, Ming-Hsien Chen
      Pages 104-114
    9. Jianfeng Li, Jinhuan Shi, Hongzhi Zhang, Yanlai Li, Naimin Li, Changming Liu
      Pages 115-125
    10. Lei Liu, Wangmeng Zuo, Dongyu Zhang, Naimin Li, Hongzhi Zhang
      Pages 137-144
    11. Li Liu, Michael O. Ngadi
      Pages 145-152
    12. Ruwan Dharshana Nawarathna, JungHwan Oh, Xiaohui Yuan, Jeongkyu Lee, Shou Jiang Tang
      Pages 153-162

About these proceedings

Keywords

Clustering Support Vector Machine algorithms biomedical data biometrics classification color grading computer vision decision support system filtering health care health monitoring medical imaging

Editors and affiliations

  • David Zhang
    • 1
  • Milan Sonka
    • 2
  1. 1.Biometrics Research Centre, Department of ComputingThe Hong Kong Polytechnic UniversityKowloon, Hong Kong
  2. 2.Department of Electrical and Computer EngineeringUniversity of IowaIowa CityUSA

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-13922-2
  • Online ISBN 978-3-642-13923-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349