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TumorGAN: A Multi-Modal Data Augmentation Framework for Brain Tumor Segmentation
The high human labor demand involved in collecting paired medical imaging data severely impedes the application of deep learning methods to medical image processing tasks such as tumor segmentation. The situation is further worsened when collecting multi-modal image pairs. However, this issue can be...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435374/ https://www.ncbi.nlm.nih.gov/pubmed/32731598 http://dx.doi.org/10.3390/s20154203 |