Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach

BACKGROUND: To evaluate whether machine learning algorithms allow the prediction of Child-Pugh classification on clinical multiphase computed tomography (CT). METHODS: A total of 259 patients who underwent diagnostic abdominal CT (unenhanced, contrast-enhanced arterial, and venous phases) were inclu...

Descripción completa

Detalles Bibliográficos
Autores principales: Thüring, Johannes, Rippel, Oliver, Haarburger, Christoph, Merhof, Dorit, Schad, Philipp, Bruners, Philipp, Kuhl, Christiane K., Truhn, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7131973/
https://www.ncbi.nlm.nih.gov/pubmed/32249336
http://dx.doi.org/10.1186/s41747-020-00148-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7131973/
https://www.ncbi.nlm.nih.gov/pubmed/32249336
http://dx.doi.org/10.1186/s41747-020-00148-3

Ejemplares similares