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Ensemble learning-based radiomics with multi-sequence magnetic resonance imaging for benign and mali...

Ensemble learning-based radiomics with multi-sequence magnetic resonance imaging for benign and mali...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2821324659

Ensemble learning-based radiomics with multi-sequence magnetic resonance imaging for benign and malignant soft tissue tumor differentiation

About this item

Full title

Ensemble learning-based radiomics with multi-sequence magnetic resonance imaging for benign and malignant soft tissue tumor differentiation

Publisher

United States: Public Library of Science

Journal title

PloS one, 2023-05, Vol.18 (5), p.e0286417-e0286417

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Many previous studies focused on differentiating between benign and malignant soft tissue tumors using radiomics model based on various magnetic resonance imaging (MRI) sequences, but it is still unclear how to set up the input radiomic features from multiple MRI sequences. Here, we evaluated two types of radiomics models generated using different...

Alternative Titles

Full title

Ensemble learning-based radiomics with multi-sequence magnetic resonance imaging for benign and malignant soft tissue tumor differentiation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2821324659

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2821324659

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0286417

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