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A pipeline for automated deep learning liver segmentation (PADLLS) from contrast enhanced CT exams
Multiple studies have created state-of-the-art liver segmentation models using Deep Convolutional Neural Networks (DCNNs) such as the V-net and H-DenseUnet. Oversegmentation however continues to be a problem. We set forth to address these limitations by developing a an automated workflow that levera...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500060/ https://www.ncbi.nlm.nih.gov/pubmed/36138084 http://dx.doi.org/10.1038/s41598-022-20108-8 |