Cargando…
Convolutional neural network-based kidney volume estimation from low-dose unenhanced computed tomography scans
PURPOSE: Kidney volume is important in the management of renal diseases. Unfortunately, the currently available, semi-automated kidney volume determination is time-consuming and prone to errors. Recent advances in its automation are promising but mostly require contrast-enhanced computed tomography...
Autores principales: | Müller, Lukas, Tibyampansha, Dativa, Mildenberger, Peter, Panholzer, Torsten, Jungmann, Florian, Halfmann, Moritz C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648730/ https://www.ncbi.nlm.nih.gov/pubmed/37968580 http://dx.doi.org/10.1186/s12880-023-01142-y |
Ejemplares similares
-
Multidetector Computed Tomography for the Assessment of Adnexal Mass: Is Unenhanced CT Scan Necessary?
por: Jung, Sung Il, et al.
Publicado: (2014) -
Significance of an additional unenhanced scan in computed tomography angiography of patients with suspected acute aortic syndrome
por: Panagiotopoulos, Nikolaos, et al.
Publicado: (2018) -
Implementation of structured reporting in clinical routine: a review of 7 years of institutional experience
por: Jorg, Tobias, et al.
Publicado: (2023) -
Triple-phase abdomen and pelvis computed tomography: standard unenhanced phase can be replaced with reduced-dose scan
por: Waszczuk, Łukasz, et al.
Publicado: (2018) -
Estimation of Renal Function Using Unenhanced Computed Tomography in Upper Urinary Tract Stones Patients
por: Li, Jiali, et al.
Publicado: (2020)