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Investigation of clinical target volume segmentation for whole breast irradiation using three-dimensional convolutional neural networks with gradient-weighted class activation mapping

Crossref DOI link: https://doi.org/10.1007/s12194-021-00620-8

Published Online: 2021-06-16

Published Print: 2021-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Oya, Megumi

Sugimoto, Satoru https://orcid.org/0000-0001-8153-0377
Sasai, Keisuke

Yokoyama, Kazuhito
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Text and Data Mining valid from 2021-06-16

Version of Record valid from 2021-06-16
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Article History

Received: 16 December 2020

Revised: 11 May 2021

Accepted: 25 May 2021

First Online: 16 June 2021

Declarations

:

: The authors declare that they have no conflicts of interest.

: This study was conducted in accordance with the Declaration of Helsinki and the Japanese ethical guidelines for epidemiologic research. No animals were used in any of the experiments conducted in the present study.

: The study protocol was approved by the Institutional Review Board (#19-122) of Juntendo University Hospital, and the need for informed consent was waived.

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