A multi-Task Learning based applicable AI model simultaneously predicts stage, histology, grade and...
A multi-Task Learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery
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Publisher
England: BioMed Central Ltd
Journal title
Language
English
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Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
To build an Mult-Task Learning (MTL) based Artificial Intelligence(AI) model that can simultaneously predict clinical stage, histology, grade and LNM for cervical cancer before surgery.
This retrospective and prospective cohort study was conducted from January 2001 to March 2014 for the training set and from January 2018 to November 2021 for the...
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Full title
A multi-Task Learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_834bcfd4125047ddb38161d24cc4c126
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_834bcfd4125047ddb38161d24cc4c126
Other Identifiers
ISSN
1472-6874
E-ISSN
1472-6874
DOI
10.1186/s12905-024-03270-1
