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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Veröffentlicht in:Biomed Eng Online
Hauptverfasser: Xiao, Bingbing, Sun, Haotian, Meng, You, Peng, Yunsong, Yang, Xiaodong, Chen, Shuangqing, Yan, Zhuangzhi, Zheng, Jian
Format: Artigo
Sprache:Inglês
Veröffentlicht: BioMed Central 2021
Schlagworte:
Research
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8317331/
https://ncbi.nlm.nih.gov/pubmed/34320986
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12938-021-00908-1
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