A machine-learning-based combination of criteria to detect bladder cancer lymph node metastasis on [18F]FDG PET/CT: a pathology-controlled study

Girard, A., Dercle, L., Vila-Reyes, H., Schwartz, L. H., Girma, A., Bertaux, M., Radulescu, C., Lebret, T., Delcroix, O., & Rouanne, M. (2022). A machine-learning-based combination of criteria to detect bladder cancer lymph node metastasis on [18F]FDG PET/CT: a pathology-controlled study. European Radiology, 33(4), 2821–2829. https://doi.org/10.1007/s00330-022-09270-9
Authors:
Antoine Girard
Laurent Dercle
Helena Vila-Reyes
Lawrence H Schwartz
Astrid Girma
Marc Bertaux
Camelia Radulescu
Thierry Lebret
Olivier Delcroix
Mathieu Rouanne
Affiliated Authors:
Laurent Dercle
Helena Vila-Reyes
Lawrence H Schwartz
Mathieu Rouanne
Author Keywords:
urinary bladder neoplasms
positron emission tomography computed tomography
machine learning
lymph nodes
artificial intelligence
Publication Type:
Article
Unique ID:
10.1007/s00330-022-09270-9
PMID:
Publication Date:
Data Source:
PubMed

Record Created: