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Quantitative analysis of ultrasound images for computer-aided diagnosis
We propose an adaptable framework for analyzing ultrasound (US) images quantitatively to provide computer-aided diagnosis using machine learning. Our preliminary clinical targets are hepatic steatosis, adenomyosis, and craniosynostosis. For steatosis and adenomyosis, we collected US studies from 288...
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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
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4725328/ https://ncbi.nlm.nih.gov/pubmed/26835502 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.3.1.014501 |
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