Tracked 3D ultrasound and deep neural network-based thyroid segmentation reduce interobserver variability in thyroid volumetry

Thyroid volumetry is crucial in the diagnosis, treatment, and monitoring of thyroid diseases. However, conventional thyroid volumetry with 2D ultrasound is highly operator-dependent. This study compares 2D and tracked 3D ultrasound with an automatic thyroid segmentation based on a deep neural networ...

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Detalles Bibliográficos
Autores principales: Krönke, Markus, Eilers, Christine, Dimova, Desislava, Köhler, Melanie, Buschner, Gabriel, Schweiger, Lilit, Konstantinidou, Lemonia, Makowski, Marcus, Nagarajah, James, Navab, Nassir, Weber, Wolfgang, Wendler, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9337648/
https://www.ncbi.nlm.nih.gov/pubmed/35905038
http://dx.doi.org/10.1371/journal.pone.0268550

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9337648/
https://www.ncbi.nlm.nih.gov/pubmed/35905038
http://dx.doi.org/10.1371/journal.pone.0268550

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