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The Tumor Target Segmentation of Nasopharyngeal Cancer in CT Images Based on Deep Learning Methods

The Tumor Target Segmentation of Nasopharyngeal Cancer in CT Images Based on Deep Learning Methods

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6862777

The Tumor Target Segmentation of Nasopharyngeal Cancer in CT Images Based on Deep Learning Methods

About this item

Full title

The Tumor Target Segmentation of Nasopharyngeal Cancer in CT Images Based on Deep Learning Methods

Publisher

Los Angeles, CA: SAGE Publications

Journal title

Technology in cancer research & treatment, 2019-01, Vol.18, p.1533033819884561-1533033819884561

Language

English

Formats

Publication information

Publisher

Los Angeles, CA: SAGE Publications

More information

Scope and Contents

Contents

Radiotherapy is the main treatment strategy for nasopharyngeal carcinoma. A major factor affecting radiotherapy outcome is the accuracy of target delineation. Target delineation is time-consuming, and the results can vary depending on the experience of the oncologist. Using deep learning methods to automate target delineation may increase its effic...

Alternative Titles

Full title

The Tumor Target Segmentation of Nasopharyngeal Cancer in CT Images Based on Deep Learning Methods

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6862777

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6862777

Other Identifiers

ISSN

1533-0346

E-ISSN

1533-0338

DOI

10.1177/1533033819884561

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