Explainable multiple abnormality classification of chest CT volumes
Explainable multiple abnormality classification of chest CT volumes
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Ithaca: Cornell University Library, arXiv.org
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English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Contents
Understanding model predictions is critical in healthcare, to facilitate rapid verification of model correctness and to guard against use of models that exploit confounding variables. We introduce the challenging new task of explainable multiple abnormality classification in volumetric medical images, in which a model must indicate the regions used...
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Full title
Explainable multiple abnormality classification of chest CT volumes
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TN_cdi_proquest_journals_2602336616
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2602336616
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2111.12215