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Classification of asymmetry in mammography via the DenseNet convolutional neural network
PURPOSE: To investigate the effectiveness of a deep learning system based on the DenseNet convolutional neural network in diagnosing benign and malignant asymmetric lesions in mammography. METHODS: Clinical and image data from 460 women aged 23–82 years (47.57 ± 8.73 years) with asymmetric lesions w...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336404/ https://www.ncbi.nlm.nih.gov/pubmed/37448557 http://dx.doi.org/10.1016/j.ejro.2023.100502 |