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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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| Pubblicato in: | J Med Imaging (Bellingham) |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Soggetti: | |
| Accesso online: | 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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