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An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR images
PURPOSE: This study focuses on assessing the performance of active learning techniques to train a brain MRI glioma segmentation model. METHODS: The publicly available training dataset provided for the 2021 RSNA-ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge was used in this study, consisting...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Vienna
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449747/ https://www.ncbi.nlm.nih.gov/pubmed/37620554 http://dx.doi.org/10.1186/s13244-023-01487-6 |