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U-net architecture with embedded Inception-ResNet-v2 image encoding modules for automatic segmentation of organs-at-risk in head and neck cancer radiation therapy based on computed tomography scans

Crossref DOI link: https://doi.org/10.1088/1361-6560/ac530e

Published Online: 2022-06-22

Published Print: 2022-06-07

Update policy: https://doi.org/10.1088/crossmark-policy

Authors

Siciarz, Pawel https://orcid.org/0000-0002-7953-7729
McCurdy, Boyd
Funding

Funding for this research was provided by:

University of Manitoba

CancerCare Manitoba Foundation
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Text and Data Mining valid from 2022-06-22
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Article Title: U-net architecture with embedded Inception-ResNet-v2 image encoding modules for automatic segmentation of organs-at-risk in head and neck cancer radiation therapy based on computed tomography scans

Journal Title: Physics in Medicine & Biology

Article Type: paper

Copyright Information: © 2022 Institute of Physics and Engineering in Medicine

Publication dates

Date Received: 2021-07-30

Date Accepted: 2022-02-08

Online publication date: 2022-06-22

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