Improving segmentation of liver tumors using deep learning
Liver tumor segmentation from computed tomography images is an essential task for the automated diagnosis and treatment of liver cancer. However, such task is di cult due to the variability of morphologies, di use boundaries, heterogeneous densities, and sizes of the lesions. In this work we develop...
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| Andere auteurs: | , |
| Formaat: | Capítulo de libro |
| Taal: | English |
| Gepubliceerd in: |
Springer
2020
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| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1007/978-3-030-35445-9 https://link.springer.com/chapter/10.1007/978-3-030-35445-9_52 |
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