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Deep convolutional neural networks for the automated segmentation of malignant pleural mesothelioma on computed tomography scans
Tumor volume has been a topic of interest in the staging, prognostic evaluation, and treatment response assessment of malignant pleural mesothelioma (MPM). Deep convolutional neural networks (CNNs) were trained separately for the left and right hemithoraces on the task of differentiating between ple...
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| Publicado no: | J Med Imaging (Bellingham) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6151316/ https://ncbi.nlm.nih.gov/pubmed/30840717 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.5.3.034503 |
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