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Global detection approach for clustered microcalcifications in mammograms using a deep learning network
In computerized detection of clustered microcalcifications (MCs) from mammograms, the traditional approach is to apply a pattern detector to locate the presence of individual MCs, which are subsequently grouped into clusters. Such an approach is often susceptible to the occurrence of false positives...
Gorde:
| Argitaratua izan da: | J Med Imaging (Bellingham) |
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| Egile Nagusiak: | , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Society of Photo-Optical Instrumentation Engineers
2017
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5400890/ https://ncbi.nlm.nih.gov/pubmed/28466029 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.4.2.024501 |
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