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Influence of contrast and texture based image modifications on the performance and attention shift of U-Net models for brain tissue segmentation
Contrast and texture modifications applied during training or test-time have recently shown promising results to enhance the generalization performance of deep learning segmentation methods in medical image analysis. However, a deeper understanding of this phenomenon has not been investigated. In th...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406260/ https://www.ncbi.nlm.nih.gov/pubmed/37555149 http://dx.doi.org/10.3389/fnimg.2022.1012639 |