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Annotation-free deep learning algorithm trained on hematoxylin & eosin images predicts epithelial-to-mesenchymal transition phenotype and endocrine response in estrogen receptor-positive breast cancer

Crossref DOI link: https://doi.org/10.1186/s13058-025-01959-1

Published Online: 2025-01-12

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

Authors

Hu, Kaimin

Wu, Yinan

Huang, Yajing

Zhou, Meiqi

Wang, Yanyan

Huang, Xingru
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (82203077)
License Information

Text and Data Mining valid from 2025-01-12

Version of Record valid from 2025-01-12
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Article History

Received: 10 October 2024

Accepted: 1 January 2025

First Online: 12 January 2025

Declarations

:

: The research ethics committee of the Second Affiliated Hospital of Zhejiang University approved this retrospective study (approval no. 20220731) and waived the requirement for informed consent since it solely utilized pre-existing medical data. This study was conducted in compliance with the ethical standards of the participating institution and adhered to the tenets outlined in the Declaration of Helsinki.

: The authors declare no competing interests.

: The authors declare no competing interests.

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