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Classifying symmetrical differences and temporal change for the detection of malignant masses in mammography using deep neural networks
We investigate the addition of symmetry and temporal context information to a deep convolutional neural network (CNN) with the purpose of detecting malignant soft tissue lesions in mammography. We employ a simple linear mapping that takes the location of a mass candidate and maps it to either the co...
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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
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5633751/ https://ncbi.nlm.nih.gov/pubmed/29021992 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.4.4.044501 |
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