Hierarchical constrained local model using ICA and its application to Down syndrome detection

Authors

Qian Zhao, Children's National Medical Center
Kazunori Okada, San Francisco State University
Kenneth Rosenbaum, George Washington UniversityFollow
Dina Zand, George Washington University
Raymond Sze, George Washington UniversityFollow
Marshall Summar, George Washington UniversityFollow
Marius George Linguraru, George Washington UniversityFollow

Document Type

Journal Article

Publication Date

2013

Journal

Medical Image Computing and Computer-Assisted Intervention

Volume

Volume 16, Issue 2

Inclusive Pages

222-229

Keywords

Algorithms; Down Syndrome--diagnosis; Face--pathology; Image Interpretation, Computer-Assisted--methods; Pattern Recognition, Automated--methods; Photography--methods

APA Citation

Zhao, Q., Okada, K., Rosenbaum, K., Zand, D.J., Sze, R. et al. (2013). Hierarchical constrained local model using ICA and its application to Down syndrome detection. Medical Image Computing and Computer-Assisted Intervention, 16(2), 222-229.