Revolutionizing breast cancer Ki-67 diagnosis: ultrasound radiomics and fully connected neural networks (FCNN) combination method-Reference-Cited by-同舟云学术

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Revolutionizing breast cancer Ki-67 diagnosis: ultrasound radiomics and fully connected neural networks (FCNN) combination method

Published:2024-06-09 Issue:2 Volume:207 Page:453-468
ISSN:0167-6806
Container-title:Breast Cancer Research and Treatment
language:en
Short-container-title:Breast Cancer Res Treat

Author:

Li Yanfeng,Long Wengxing,Zhou Hongda,Tan Tao,Xie Hui

Funder

Science and Technology Funding Project of Hunan Province, China

A Project Supported by Scientific Research Fund of Hunan Provincial Education Department

Scientific Research Project of Hunan Provincial Health Commission

Hunan Natural Science Foundation

Macao Polytechnic University

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10549-024-07375-x.pdf

Reference61 articles.

1. Nguyen QH et al (2018) Profiling human breast epithelial cells using single cell RNA sequencing identifies cell diversity. Nat Commun 9(1):2028. https://doi.org/10.1038/s41467-018-04334-1

2. Wu P, Zhu Y, Liu S, Xiong H (2021) Modular design of high-brightness pH-activatable near-infrared BODIPY probes for noninvasive fluorescence detection of deep-seated early breast cancer bone metastasis: remarkable axial substituent effect on performance. ACS Cent Sci 7(12):2039–2048. https://doi.org/10.1021/acscentsci.1c01066

3. Wan A et al (2022) Association of long-term oncologic prognosis with minimal access breast surgery vs conventional breast surgery. JAMA Surg 157(12):e224711. https://doi.org/10.1001/jamasurg.2022.4711

4. Yang Y et al (2022) NARF is a hypoxia-induced coactivator for OCT4-mediated breast cancer stem cell specification. Sci Adv 8(49):eabo5000. https://doi.org/10.1126/sciadv.abo5000

5. Lang GT et al (2020) Characterization of the genomic landscape and actionable mutations in Chinese breast cancers by clinical sequencing. Nat Commun 11(1):5679. https://doi.org/10.1038/s41467-020-19342-3

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