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Lindner et al., 2015 - Google Patents

Fully automatic cephalometric evaluation using random forest regression-voting

Lindner et al., 2015

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Document ID
18316978661851688273
Author
Lindner C
Cootes T
Publication year
Publication venue
IEEE International Symposium on Biomedical Imaging (ISBI) 2015–Grand Challenges in Dental X-ray Image Analysis–Automated Detection and Analysis for Diagnosis in Cephalometric X-ray Image

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Snippet

Cephalometric analysis is commonly used as a standard tool for orthodontic diagnosis and treatment planning. The identification of cephalometric landmarks on images of the skull allows the quantification and classification of anatomical abnormalities. In clinical practice …
Continue reading at research.manchester.ac.uk (PDF) (other versions)

Classifications

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268—Feature extraction; Face representation
    • G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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