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...

Descripción completa

Detalles Bibliográficos
Autores principales: Casado-García, Ángela, Domínguez, César, García-Domínguez, Manuel, Heras, Jónathan, Inés, Adrián, Mata, Eloy, Pascual, Vico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Software
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

Internet

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

Ejemplares similares