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Fully Automatic Volume Measurement of the Spleen at CT Using Deep Learning

PURPOSE: To develop a fully automated algorithm for spleen segmentation and to assess the performance of this algorithm in a large dataset. MATERIALS AND METHODS: In this retrospective study, a three-dimensional deep learning network was developed to segment the spleen on thorax-abdomen CT scans. Sc...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:Radiol Artif Intell
Hauptverfasser: Humpire-Mamani, Gabriel E., Bukala, Joris, Scholten, Ernst T., Prokop, Mathias, van Ginneken, Bram, Jacobs, Colin
Format: Artigo
Sprache:Inglês
Veröffentlicht: Radiological Society of North America 2020
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8082410/
https://ncbi.nlm.nih.gov/pubmed/33937830
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2020190102
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