Robust, Primitive, and Unsupervised Quality Estimation for Segmentation Ensembles
Robust, Primitive, and Unsupervised Quality Estimation for Segmentation Ensembles
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Publisher
Switzerland: Frontiers Research Foundation
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Language
English
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Publisher
Switzerland: Frontiers Research Foundation
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Contents
A multitude of image-based machine learning segmentation and classification algorithms has recently been proposed, offering diagnostic decision support for the identification and characterization of glioma, Covid-19 and many other diseases. Even though these algorithms often outperform human experts in segmentation tasks, their limited reliability,...
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Full title
Robust, Primitive, and Unsupervised Quality Estimation for Segmentation Ensembles
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TN_cdi_doaj_primary_oai_doaj_org_article_d010419e971a414d8c7f17bad1809b23
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d010419e971a414d8c7f17bad1809b23
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ISSN
1662-4548,1662-453X
E-ISSN
1662-453X
DOI
10.3389/fnins.2021.752780
