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Breast cancer detection using synthetic mammograms from generative adversarial networks in convolutional neural networks
The convolutional neural network (CNN) is a promising technique to detect breast cancer based on mammograms. Training the CNN from scratch, however, requires a large amount of labeled data. Such a requirement usually is infeasible for some kinds of medical image data such as mammographic tumor image...
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| Pubblicato in: | J Med Imaging (Bellingham) |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Society of Photo-Optical Instrumentation Engineers
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6430964/ https://ncbi.nlm.nih.gov/pubmed/30915386 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.6.3.031411 |
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