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A supervised visual model for finding regions of interest in basal cell carcinoma images
This paper introduces a supervised learning method for finding diagnostic regions of interest in histopathological images. The method is based on the cognitive process of visual selection of relevant regions that arises during a pathologist's image examination. The proposed strategy emulates th...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2011
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3079595/ https://www.ncbi.nlm.nih.gov/pubmed/21447178 http://dx.doi.org/10.1186/1746-1596-6-26 |