Regression-models fitted using conditional independence to estimate pig fatness from magnetic-resonance images

Research output: Contribution to journalArticle

Abstract

Regression models were used to predict whole-body fat percentage from as few as 13 cross-sectional magnetic resonance images from each of 12 pigs. Models were fit indirectly, by relating fat percentage to statistics averaged over all images from each pig, and relating these to individual images. Predictors were checked for robustness against errors in image locations.

Original languageEnglish
Pages (from-to)179-184
Number of pages6
JournalJournal of the Royal Statistical Society. Series D (The Statistician)
Volume41
Issue number2
Publication statusPublished - 1992

Cite this

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title = "Regression-models fitted using conditional independence to estimate pig fatness from magnetic-resonance images",
abstract = "Regression models were used to predict whole-body fat percentage from as few as 13 cross-sectional magnetic resonance images from each of 12 pigs. Models were fit indirectly, by relating fat percentage to statistics averaged over all images from each pig, and relating these to individual images. Predictors were checked for robustness against errors in image locations.",
author = "GLASBEY, {C A} and Fowler, {Paul Alfred Francois}",
year = "1992",
language = "English",
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pages = "179--184",
journal = "Journal of the Royal Statistical Society. Series D (The Statistician)",
issn = "0039-0526",
publisher = "Wiley-Blackwell",
number = "2",

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T1 - Regression-models fitted using conditional independence to estimate pig fatness from magnetic-resonance images

AU - GLASBEY, C A

AU - Fowler, Paul Alfred Francois

PY - 1992

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N2 - Regression models were used to predict whole-body fat percentage from as few as 13 cross-sectional magnetic resonance images from each of 12 pigs. Models were fit indirectly, by relating fat percentage to statistics averaged over all images from each pig, and relating these to individual images. Predictors were checked for robustness against errors in image locations.

AB - Regression models were used to predict whole-body fat percentage from as few as 13 cross-sectional magnetic resonance images from each of 12 pigs. Models were fit indirectly, by relating fat percentage to statistics averaged over all images from each pig, and relating these to individual images. Predictors were checked for robustness against errors in image locations.

M3 - Article

VL - 41

SP - 179

EP - 184

JO - Journal of the Royal Statistical Society. Series D (The Statistician)

JF - Journal of the Royal Statistical Society. Series D (The Statistician)

SN - 0039-0526

IS - 2

ER -