Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis
Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis
About this item
Full title
Author / Creator
Carass, Aaron , Roy, Snehashis , Gherman, Adrian , Reinhold, Jacob C. , Jesson, Andrew , Arbel, Tal , Maier, Oskar , Handels, Heinz , Ghafoorian, Mohsen , Platel, Bram , Birenbaum, Ariel , Greenspan, Hayit , Pham, Dzung L. , Crainiceanu, Ciprian M. , Calabresi, Peter A. , Prince, Jerry L. , Roncal, William R. Gray , Shinohara, Russell T. and Oguz, Ipek
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
The Sørensen-Dice index (SDI) is a widely used measure for evaluating medical image segmentation algorithms. It offers a standardized measure of segmentation accuracy which has proven useful. However, it offers diminishing insight when the number of objects is unknown, such as in white matter lesion segmentation of multiple sclerosis (MS) patients....
Alternative Titles
Full title
Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis
Authors, Artists and Contributors
Author / Creator
Roy, Snehashis
Gherman, Adrian
Reinhold, Jacob C.
Jesson, Andrew
Arbel, Tal
Maier, Oskar
Handels, Heinz
Ghafoorian, Mohsen
Platel, Bram
Birenbaum, Ariel
Greenspan, Hayit
Pham, Dzung L.
Crainiceanu, Ciprian M.
Calabresi, Peter A.
Prince, Jerry L.
Roncal, William R. Gray
Shinohara, Russell T.
Oguz, Ipek
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7237671
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7237671
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-020-64803-w
