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Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance
The deep convolutional neural network has achieved outstanding performance on neonatal brain MRI tissue segmentation. However, it may fail to produce reasonable results on unseen datasets that have different imaging appearance distributions with the training data. The main reason is that deep learni...
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| Yayımlandı: | Domain Adapt Represent Transf Med Image Learn Less Labels Imperfect Data (2019) |
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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/PMC7034948/ https://ncbi.nlm.nih.gov/pubmed/32090208 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-33391-1_28 |
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