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Transfer Learning from Convolutional Neural Networks for Computer-Aided: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography
RATIONALE AND OBJECTIVES: With the growing adoption of digital breast tomosynthesis (DBT) in breast cancer screening, we compare the performance of deep learning computer-aided diagnosis (CADx) on DBT images to that of conventional full-field digital mammography (FFDM). MATERIALS AND METHODS: In thi...
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| Publicado no: | Acad Radiol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6355376/ https://ncbi.nlm.nih.gov/pubmed/30076083 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.acra.2018.06.019 |
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