Evidence map›Paper›PMID 29714358›Full record

ArticleBrainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop)2018

Dice Overlap Measures for Objects of Unknown Number: Application to Lesion Segmentation.

Ipek Oguz, Aaron Carass, Dzung L Pham, Snehashis Roy, Nagesh Subbana, Peter A Calabresi, Paul A Yushkevich, Russell T Shinohara, Jerry L Prince

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ipek OguzDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Aaron CarassDepartment of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.
Dzung L PhamCNRM, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA.
Snehashis RoyCNRM, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA.
Nagesh SubbanaDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Peter A CalabresiDepartment of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Paul A YushkevichDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Russell T ShinoharaDepartment of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Jerry L PrinceDepartment of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.

Funding

Imaging Neurodegeneration in Multiple SclerosisR01NS082347 · NINDS · JOHNS HOPKINS UNIVERSITY · PI PETER A CALABRESI, Shiv Saidha · 2013 to 2026
$7.0M
Adaptive Large-Scale Framework for Automatic Biomedical Image SegmentationR01EB017255 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI YUSHKEVICH, PAUL A. · 2014 to 2018
$3.0M
Statistical methods for large and complex databases of ultra-high-dimensionalR01NS085211 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2013 to 2017
$1.8M
Brain Image Analysis Tools for Quantitative Longitudinal Assessment of MSR01NS070906 · NINDS · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI PHAM, DZUNG L · 2010 to 2014
$1.7M
Early detection of Huntington's Disease: Longitudinal analysis of basal ganglia and cortical thicknessR01NS094456 · NINDS · VANDERBILT UNIVERSITY · PI OGUZ, IPEK · 2016 to 2019
$1.3M
Spatiotemporal Modeling of MRI Brain Lesion Trajectories of Biomarker DiscoveryR21NS093349 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI ELOYAN, ANI, SHINOHARA, RUSSELL TAKESHI · 2016 to 2017
$454k
NIBIB NIH HHS R01 EB017255NINDS NIH HHS R01 NS070906NINDS NIH HHS R01 NS082347NINDS NIH HHS R01 NS085211NINDS NIH HHS R01 NS094456NINDS NIH HHS R21 NS093349
6 · The paper itself

Abstract

The Dice overlap ratio is commonly used to evaluate the performance of image segmentation algorithms. While Dice overlap is very useful as a standardized quantitative measure of segmentation accuracy in many applications, it offers a very limited picture of segmentation quality in complex segmentation tasks where the number of target objects is not known

Indexed as

EvaluationLesionMSSegmentation

Identifiers

PMID29714358
PMCPMC5920690

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.