Computational anatomy

Morphometrics

Morphometrics (from Greek μορϕή morphe, "shape, form", and -μετρία metria, "measurement") or morphometry refers to the quantitative analysis of form, a concept that encompasses size and shape. Morphometric analyses are commonly performed on organisms, and are useful in analyzing their fossil record, the impact of mutations on shape, developmental changes in form, covariances between ecological factors and shape, as well for estimating quantitative-genetic parameters of shape. Morphometrics can be used to quantify a trait of evolutionary significance, and by detecting changes in the shape, deduce something of their ontogeny, function or evolutionary relationships. A major objective of morphometrics is to statistically test hypotheses about the factors that affect shape. "Morphometrics", in the broader sense, is also used to precisely locate certain areas of organs such as the brain, and in describing the shapes of other things. (Wikipedia).

Morphometrics
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From playlist Trigonometry

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Linear regression

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From playlist Learning medical statistics with python and Jupyter notebooks

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Introduction to Geometer's Sketchpad: Measurements

This video demonstrates some of the measurement and calculation features of Geometer's Sketchpad.

From playlist Geometer's Sketchpad

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Kathryn Hess (10/9/19): How to grow synthetic digital neurons

Title: How to grow synthetic digital neurons Abstract: The generation of digital morphologies that reproduce the anatomical and electrical characteristics of biological neurons is a vital step towards the reconstruction and simulation of physiologically realistic brain networks, as neuro

From playlist AATRN 2019

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What are the Inverse Trigonometric functions and what do they mean?

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From playlist Evaluate Inverse Trigonometric Functions

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More resources available at www.misterwootube.com

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From playlist Beyond TDA - Persistent functions and its applications in data sciences, 2021

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Title: A fiber bundle theory for shapes Abstract: We will present how fiber bundles can be used in probabilistic modeling. Applications in geometric morphometrics will be used as examples, this means we will model shapes and surfaces for evolutionary biology and biomedical applications. W

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Related pages

Large deformation diffeomorphic metric mapping | Ellipse | Computational anatomy | Fourier analysis | Diffeomorphometry | Principal component analysis