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CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks
BACKGROUND: Deep learning techniques have been successfully applied to bioimaging problems; however, these methods are highly data demanding. An approach to deal with the lack of data and avoid overfitting is the application of data augmentation, a technique that generates new training samples from...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567576/ https://www.ncbi.nlm.nih.gov/pubmed/31195959 http://dx.doi.org/10.1186/s12859-019-2931-1 |