Evaluation of cyst treatment technique, cyst type, size differences and healing by fractal analysis. [PDF]
Kaygisiz ÖF, Karsli ED.
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Comparison of the Effects of Fixed and Removable Functional Orthodontic Treatment on the Mandibular Trabecular Bone in Fractal Analysis. [PDF]
Karslı N +5 more
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Quantifying tumor morphological complexity based on pretreatment MRI fractal analysis for predicting pathologic complete response and survival in breast cancer: a retrospective, multicenter study. [PDF]
Huang Y +8 more
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Fractal Analysis of Electrodermal Activity for Emotion Recognition: A Novel Approach Using Detrended Fluctuation Analysis and Wavelet Entropy. [PDF]
Mercado-Diaz LR +3 more
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A Comparative Evaluation of Bone Density Surrounding Buccally and Palatally Impacted Canines Utilizing Fractal Analysis: A Retrospective Cone-Beam Computed Tomography (CBCT) Study. [PDF]
Agrawal MS +4 more
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Fractal analysis is a quantitative method used to evaluate complex anatomic findings in their elementary component. Its application to biologic images, particularly to cancellous bones, has been well practiced within the past few years. The aims of these applications are to assess changes in bone and the loss of spongious architecture, indicate bone ...
FELTRIN, GIAMPIETRO +4 more
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The concept of fractal form analysis is introduced, in which fractal metrication is defined for partial objects of fractals as a cmD or b mD with the fractal dimensionality D.
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Fractal Analysis in Human Pathology
Annals of the New York Academy of Sciences, 1999.Living structures may be described as being in a self-organizing, fluctuating steady-state far from equilibrium. 1 Self-organization and a state far from equilibrium are characteristics of chaotic structures. Chaotic structures present fractal geometry, so is not too astonishing that the branching pattern of the airways in the lung or the arterial ...
LUZI P. +6 more
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This paper provides the statistical foundations for fractal analysis of real-life data. It begins by developing a fractal probability distribution based on a power-law formulation and proceeds by estimating the parameters through (a) maximum likelihood estimation method, (b) exponential parameter estimation, and (c) regression approach.
Adriano Patac, Jr., Roberto Padua
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