Fully Automatic Whole-Volume Tumor Segmentation in Cervical Cancer
Fully Automatic Whole-Volume Tumor Segmentation in Cervical Cancer
About this item
Full title
Author / Creator
Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Uterine cervical cancer (CC) is the most common gynecologic malignancy worldwide. Whole-volume radiomic profiling from pelvic MRI may yield prognostic markers for tailoring treatment in CC. However, radiomic profiling relies on manual tumor segmentation which is unfeasible in the clinic. We present a fully automatic method for the 3D segmentation o...
Alternative Titles
Full title
Fully Automatic Whole-Volume Tumor Segmentation in Cervical Cancer
Authors, Artists and Contributors
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9139985
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9139985
Other Identifiers
ISSN
2072-6694
E-ISSN
2072-6694
DOI
10.3390/cancers14102372
