Reducing inter-observer variability and interaction time of MR liver volumetry by combining automatic CNN-based liver segmentation and manual corrections

PURPOSE: To compare manual corrections of liver masks produced by a fully automatic segmentation method based on convolutional neural networks (CNN) with manual routine segmentations in MR images in terms of inter-observer variability and interaction time. METHODS: For testing, patient’s precise ref...

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Detalles Bibliográficos
Autores principales: Chlebus, Grzegorz, Meine, Hans, Thoduka, Smita, Abolmaali, Nasreddin, van Ginneken, Bram, Hahn, Horst Karl, Schenk, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6527212/
https://www.ncbi.nlm.nih.gov/pubmed/31107915
http://dx.doi.org/10.1371/journal.pone.0217228

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6527212/
https://www.ncbi.nlm.nih.gov/pubmed/31107915
http://dx.doi.org/10.1371/journal.pone.0217228

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