TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning,...
TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Contents
Recently, machine learning (ML), deep learning (DL), and natural language processing (NLP) have provided promising results in the free-form radiological reports' classification in the respective medical domain. In order to classify radiological reports properly, a high-quality annotated and curated dataset is required. Currently, no publicly availa...
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TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines
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TN_cdi_doaj_primary_oai_doaj_org_article_03c0cd24d91e4a289ccfda007587f111
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_03c0cd24d91e4a289ccfda007587f111
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ISSN
1472-6947
E-ISSN
1472-6947
DOI
10.1186/s12911-024-02717-7
