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Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis
The accurate automatic segmentation of gliomas and its intra-tumoral structures is important not only for treatment planning but also for follow-up evaluations. Several methods based on 2D and 3D Deep Neural Networks (DNN) have been developed to segment brain tumors and to classify different categor...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025464/ https://www.ncbi.nlm.nih.gov/pubmed/32116620 http://dx.doi.org/10.3389/fncom.2020.00006 |