Machine learning-based pipeline for automated intracerebral hemorrhage and drain detection, quantifi...
Machine learning-based pipeline for automated intracerebral hemorrhage and drain detection, quantification, and classification in non-enhanced CT images (NeuroDrAIn)
About this item
Full title
Author / Creator
Publisher
United States: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
United States: Public Library of Science
Subjects
More information
Scope and Contents
Contents
External drainage represents a well-established treatment option for acute intracerebral hemorrhage. The current standard of practice includes post-operative computer tomography imaging, which is subjectively evaluated. The implementation of an objective, automated evaluation of postoperative studies may enhance diagnostic accuracy and facilitate t...
Alternative Titles
Full title
Machine learning-based pipeline for automated intracerebral hemorrhage and drain detection, quantification, and classification in non-enhanced CT images (NeuroDrAIn)
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_plos_journals_3149480184
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3149480184
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0316003
