MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning

BACKGROUND: The increased availability and usage of modern medical imaging induced a strong need for automatic medical image segmentation. Still, current image segmentation platforms do not provide the required functionalities for plain setup of medical image segmentation pipelines. Already implemen...

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Detalles Bibliográficos
Autores principales: Müller, Dominik, Kramer, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814713/
https://www.ncbi.nlm.nih.gov/pubmed/33461500
http://dx.doi.org/10.1186/s12880-020-00543-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814713/
https://www.ncbi.nlm.nih.gov/pubmed/33461500
http://dx.doi.org/10.1186/s12880-020-00543-7

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