Classification of microcalcification clusters in digital breast tomosynthesis using ensemble convolutional neural network

BACKGROUND: The classification of benign and malignant microcalcification clusters (MCs) is an important task for computer-aided diagnosis (CAD) of digital breast tomosynthesis (DBT) images. Influenced by imaging method, DBT has the characteristic of anisotropic resolution, in which the resolution o...

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Detalles Bibliográficos
Autores principales: Xiao, Bingbing, Sun, Haotian, Meng, You, Peng, Yunsong, Yang, Xiaodong, Chen, Shuangqing, Yan, Zhuangzhi, Zheng, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317331/
https://www.ncbi.nlm.nih.gov/pubmed/34320986
http://dx.doi.org/10.1186/s12938-021-00908-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317331/
https://www.ncbi.nlm.nih.gov/pubmed/34320986
http://dx.doi.org/10.1186/s12938-021-00908-1

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