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I am doing a statistical analysis of variations in anatomical features, for example the shape of a pelvis bone. I found out that morphometric method can be used to quantify differences in geometry (e.g. shape and texture). My question is, what kind of method can I use to predict the shape variation of an anatomical feature based on a limited observation? Reference: 1. Predictive Properties of Statistical Shape Models 2. Prediction of biomechanical parameters of the proximal femur using statistical appearance models and support vector regression.

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  • $\begingroup$ What is the amount of data you have? I'm assuming you have a decent amount of data. $\endgroup$
    – Learner
    Feb 17 '15 at 4:24
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One possible method is SVM (Support vector Machines), it needs a decent amount of data to train the model. The classifier function constructed during the training completely decides the differences in data between the classes. Similar kind of study is here

We can do this using SAS/R/Python

Hope this helps !

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