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Modeling visual search behavior of breast radiologists using a deep convolution neural network
Visual search, the process of detecting and identifying objects using eye movements (saccades) and foveal vision, has been studied for identification of root causes of errors in the interpretation of mammograms. The aim of this study is to model visual search behavior of radiologists and their inter...
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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/PMC6086967/ https://ncbi.nlm.nih.gov/pubmed/30128329 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.5.3.035502 |
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