Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing

Automatic liver tumor segmentation would have a big impact on liver therapy planning procedures and follow-up assessment, thanks to standardization and incorporation of full volumetric information. In this work, we develop a fully automatic method for liver tumor segmentation in CT images based on a...

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Detalles Bibliográficos
Autores principales: Chlebus, Grzegorz, Schenk, Andrea, Moltz, Jan Hendrik, van Ginneken, Bram, Hahn, Horst Karl, Meine, Hans
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6195599/
https://www.ncbi.nlm.nih.gov/pubmed/30341319
http://dx.doi.org/10.1038/s41598-018-33860-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6195599/
https://www.ncbi.nlm.nih.gov/pubmed/30341319
http://dx.doi.org/10.1038/s41598-018-33860-7

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