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Computerized bone age estimation was widely developed during near decade. There are many techniques were applied to this filed. In the study, a new concept, the partial least squares (PLS) regression analysis was proposed to pre-estimate the bone age as a priori knowledge. PLS is a multivariate statistical analysis method and can find combinations of the predictors that have a large covariance with...
The aim of this paper is to evaluate children's bone age based on the radiogram of epiphyseal/metaphyseal region of interests (EMROIs). At first, we take the 9 EMROIs from ring finger, middle finger and index finger into our analysis and then extract the 13 geometrical features for each of them. Next, we utilized the KNN classification under the binary decision tree structure for determining the bone...
The study presents a algorithm to screen the children with Turnerpsilas Syndrome based on the hand digital images analysis. The ratio of the distal-middle phalanx of the left fifth finger versus chronological age in normal children and children with Turnerpsilas syndrome were analyzed. Most Turner syndrome cases mixed with few normal cases are identified in the first screening process based on phalanxpsilas...
The proposed automatic bone age estimation system was based on the phalanx geometric characteristics and carpals fuzzy information. The system could do automatic calibration by analyzing the geometric properties of hand images. Physiological and morphological features are extracted from medius image in segmentation stage. Back-propagation, radial basis function, and support vector machine neural networks...
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