Ultrasound-based radiomics analysis for differentiating benign and malignant breast lesions: From static images to CEUS video analysis

BACKGROUND: Continuous contrast-enhanced ultrasound (CEUS) video is a challenging direction for radiomics research. We aimed to evaluate machine learning (ML) approaches with radiomics combined with the XGBoost model and a convolutional neural network (CNN) for discriminating between benign and mali...

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Detalles Bibliográficos
Autores principales: Zhu, Jun-Yan, He, Han-Lu, Lin, Zi-Mei, Zhao, Jian-Qiang, Jiang, Xiao-Chun, Liang, Zhe-Hao, Huang, Xiao-Ping, Bao, Hai-Wei, Huang, Pin-Tong, Chen, Fen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523748/
https://www.ncbi.nlm.nih.gov/pubmed/36185229
http://dx.doi.org/10.3389/fonc.2022.951973

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523748/
https://www.ncbi.nlm.nih.gov/pubmed/36185229
http://dx.doi.org/10.3389/fonc.2022.951973

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