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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...
Gespeichert in:
| Veröffentlicht in: | J Med Imaging (Bellingham) |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Schlagworte: | |
| Online Zugang: | 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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