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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PLoS One
Hauptverfasser: Chlebus, Grzegorz, Meine, Hans, Thoduka, Smita, Abolmaali, Nasreddin, van Ginneken, Bram, Hahn, Horst Karl, Schenk, Andrea
Format: Artigo
Sprache:Inglês
Veröffentlicht: Public Library of Science 2019
Schlagworte:
Research Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6527212/
https://ncbi.nlm.nih.gov/pubmed/31107915
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0217228
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge