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A context-sensitive deep learning approach for microcalcification detection in mammograms
A challenging issue in computerized detection of clustered microcalcifications (MCs) is the frequent occurrence of false positives (FPs) caused by local image patterns that resemble MCs. We develop a context-sensitive deep neural network (DNN), aimed to take into account both the local image feature...
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| Publicado no: | Pattern Recognit |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6242284/ https://ncbi.nlm.nih.gov/pubmed/30467443 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patcog.2018.01.009 |
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