Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labels

Deep learning increasingly accelerates biomedical research, deploying neural networks for multiple tasks, such as image classification, object detection, and semantic segmentation. However, neural networks are commonly trained supervised on large-scale, labeled datasets. These prerequisites raise is...

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Detalles Bibliográficos
Autores principales: Schutera, Mark, Rettenberger, Luca, Pylatiuk, Christian, Reischl, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8824336/
https://www.ncbi.nlm.nih.gov/pubmed/35134081
http://dx.doi.org/10.1371/journal.pone.0263656

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8824336/
https://www.ncbi.nlm.nih.gov/pubmed/35134081
http://dx.doi.org/10.1371/journal.pone.0263656

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