Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Structure identification of fuzzy model
Fuzzy Sets and Systems
A note on genetic algorithms for large-scale feature selection
Pattern Recognition Letters
Shape splitting from medial lines using the 3–4 chamfer distance
IAPR Proceedings of the international workshop on Visual form: analysis and recognition
The nature of statistical learning theory
The nature of statistical learning theory
Digital Image Processing
An Equivalence Between Sparse Approximation and Support Vector Machines
An Equivalence Between Sparse Approximation and Support Vector Machines
Colonic Polyp Detection in CT Colonography with Fuzzy Rule Based 3D Template Matching
Journal of Medical Systems
Ensemble-based regression analysis of multimodal medical data for osteopenia diagnosis
Expert Systems with Applications: An International Journal
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In order to prevent bone fractures due to disease and ageing of the population, and to detect problems while still in their early stages, 3D bone micro architecture needs to be investigated and characterized. Here, we have developed various image processing and simulation techniques to investigate bone micro architecture and its mechanical stiffness. We have evaluated morphological, topological and mechanical bone features using artificial intelligence methods. A clinical study is carried out on two populations of arthritic and osteoporotic bone samples. The performances of Adaptive Neuro Fuzzy Inference System (ANFIS), Support Vector Machines (SVM) and Genetic Algorithm (GA) in classifying the different samples have been compared. Results show that the best separation success (100 %) is achieved with Genetic Algorithm.