Title | ||
---|---|---|
Digital facial dysmorphology for genetic screening: Hierarchical constrained local model using ICA. |
Abstract | ||
---|---|---|
•Hierarchical constrained local model to locate anatomical landmarks proposed.•Statistical shape models using ICA to describe local shape variations.•A data-driven independent components selection method proposed.•Combination of geometric and texture features for genetic syndrome detection.•The method validated on a dataset including 130 images achieved 0.967 accuracy and 0.956 F1. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1016/j.media.2014.04.002 | Medical Image Analysis |
Keywords | Field | DocType |
Down syndrome,Computer-aided diagnosis,Hierarchical constrained local model,Independent component analysis,Machine learning | Early detection,Pattern recognition,Computer-aided diagnosis,Artificial intelligence,Independent component analysis,Genetic syndromes,Down syndrome,Linear discriminant analysis,Landmark,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
18 | 5 | 1361-8415 |
Citations | PageRank | References |
14 | 0.80 | 34 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qian Zhao | 1 | 33 | 4.35 |
Kazunori Okada | 2 | 452 | 31.51 |
Kenneth Rosenbaum | 3 | 26 | 2.62 |
Lindsay Kehoe | 4 | 14 | 0.80 |
Dina J Zand | 5 | 22 | 1.81 |
Raymond W. Sze | 6 | 41 | 5.23 |
Marshall Summar | 7 | 24 | 2.52 |
Marius George Linguraru | 8 | 362 | 48.94 |