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Deep Convolutional Neural Network with Adversarial Training for Denoising Digital Breast Tomosynthesis Images
Digital breast tomosynthesis (DBT) is a quasi-three-dimensional imaging modality that can reduce false negatives and false positives in mass lesion detection caused by overlapping breast tissue in conventional two-dimensional (2D) mammography. The patient dose of a DBT scan is similar to that of a s...
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| Yayımlandı: | IEEE Trans Med Imaging |
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| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2021
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8274391/ https://ncbi.nlm.nih.gov/pubmed/33729933 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2021.3066896 |
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