Facial anatomical landmark detection using regularized transfer learning with application to fetal alcohol syndrome recognition
Fetal alcohol syndrome (FAS) caused by prenatal alcohol exposure can result in a series of cranio-facial anomalies, and behavioral and neurocognitive problems. Current diagnosis of FAS is typically done by identifying a set of facial characteristics, which are often obtained by manual examination. A...
| Main Authors: | , , , |
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| Format: | Journal article |
| Sprog: | English |
| Udgivet: |
IEEE
2021
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