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Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography
PURPOSE: Develop a computer-aided detection (CAD) system for masses in digital breast tomosynthesis (DBT) volume using a deep convolutional neural network (DCNN) with transfer learning from mammograms. METHODS: A data set containing 2282 digitized film and digital mammograms and 324 DBT volumes were...
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| Publicado no: | Med Phys |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Association of Physicists in Medicine
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5135717/ https://ncbi.nlm.nih.gov/pubmed/27908154 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.4967345 |
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