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Automatic Breast and Fibroglandular Tissue Segmentation in Breast MRI Using Deep Learning by A Fully-Convolutional Residual Neural Network U-Net
RATIONALE AND OBJECTIVES: Breast segmentation using the U-net architecture was implemented and tested in independent validation datasets to quantify fibroglandular tissue volume in breast MRI. MATERIALS AND METHODS: Two datasets were used. The training set was MRI of 286 patients with unilateral bre...
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| Yayımlandı: | Acad Radiol |
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| Asıl Yazarlar: | , , , , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2019
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6669125/ https://ncbi.nlm.nih.gov/pubmed/30713130 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.acra.2019.01.012 |
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