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Performance of machine learning software to classify breast lesions using BI-RADS radiomic features on ultrasound images

Published Online: 2019-08-05

Published Print: 2019-12

Authors

Fleury, Eduardo https://orcid.org/0000-0002-5334-7134
Marcomini, Karem
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Text and Data Mining valid from 2019-08-05

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Article History

Received: 14 March 2019

Accepted: 2 July 2019

First Online: 5 August 2019

Ethics approval and consent to participate

: This prospective study was approved by the Research Ethics Committee of Brazilian Institute for Cancer Control (IBCC—São Paulo, SP, Brazil) (protocol number 012664/2016) and was registered in the Plataforma Brazil (protocol number 53543016.2.0000.0072).

: Investigators of the study obtained written informed consent from all included patients and protected their privacy.

: The authors declare that no conflicts of interest are associated with this research.

: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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