Crossmark

Evaluating different combination methods to analyse ultrasound and shear wave elastography images automatically through discriminative convolutional neural network in breast cancer imaging

Crossref DOI link: https://doi.org/10.1007/s11548-022-02737-6

Published Online: 2022-08-26

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

Authors

Hoffmann, Rudolf https://orcid.org/0000-0002-9061-5417
Reich, Christoph

Skerl, Katrin
Funding

Funding for this research was provided by:

Hochschule Furtwangen
License Information

Text and Data Mining valid from 2022-08-26

Version of Record valid from 2022-08-26
More Information

Article History

Received: 10 December 2021

Accepted: 11 August 2022

First Online: 26 August 2022

Declarations

:

: The authors do not have any conflicts of interest that affect their research in their honesty and transparency.

: The data involved in the studies is not public available and no personally identifiable information is involved. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Further the ethics guidelines for trustworthy AI have been followed through out the studies.

: Informed consent was obtained from all individual participants included in the study.

Document is current

Any future updates will be listed below