2015
DOI: 10.1016/j.jalz.2015.01.002
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Manual segmentation qualification platform for the EADC‐ADNI harmonized protocol for hippocampal segmentation project

Abstract: This platform is an adequate infrastructure allowing standardized training and evaluation of tracers' compliance with the HarP. This is a necessary step allowing the use of hippocampal volumetry as a biomarker for AD in clinical and research centers.

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Cited by 18 publications
(11 citation statements)
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“…The platform provided color-coded visual feedback on compliance (or departure) from benchmark labels' segmentation, by color-coding the extent of departure on a red-to-green scale, where red denoted departure and green compliance. The platform also provided Dice and Jaccard measures of accuracy for each segmented slice and for the overall hippocampus [14]. At the end of the first two rounds, tracers received detailed written feedback from the project manager (M. Boccardi) illustrating HarP violations according to the color-coded visual feedback.…”
Section: Methodsmentioning
confidence: 99%
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“…The platform provided color-coded visual feedback on compliance (or departure) from benchmark labels' segmentation, by color-coding the extent of departure on a red-to-green scale, where red denoted departure and green compliance. The platform also provided Dice and Jaccard measures of accuracy for each segmented slice and for the overall hippocampus [14]. At the end of the first two rounds, tracers received detailed written feedback from the project manager (M. Boccardi) illustrating HarP violations according to the color-coded visual feedback.…”
Section: Methodsmentioning
confidence: 99%
“…Segmentation inaccuracies were checked by the project manager, tracers were asked to edit segmentation inaccuracies if identified, re-upload edited images, and segment new scans. After 3 such training rounds, tracers were asked to segment and upload 10 new scans (qualification phase [14]). In the Qualification phase, tracers received only feedback regarding general performance, and corrections were not allowed.…”
Section: Methodsmentioning
confidence: 99%
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“…Recently, neuroimaging techniques have allowed for 3D modeling of hippocampal changes and have been valuable for the longitudinal study of neuropathologic changes in AD (Apostolova et al, 2006c, Apostolova et al, 2010a, Duchesne et al, 2015). The present study uses a computational anatomy shape-based method called hippocampal radial distance in order to compare cross-sectional 3D hippocampal maps of subjects diagnosed with dementia and normal controls.…”
Section: Introductionmentioning
confidence: 99%