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Liver segmentation and metastases detection in MR images using convolutional neural networks
Primary tumors have a high likelihood of developing metastases in the liver, and early detection of these metastases is crucial for patient outcome. We propose a method based on convolutional neural networks to detect liver metastases. First, the liver is automatically segmented using the six phases...
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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
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6792006/ https://ncbi.nlm.nih.gov/pubmed/31620549 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.6.4.044003 |
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