Machine learning applications for the differentiation of primary central nervous system lymphoma from glioblastoma on imaging: a systematic review and meta-analysis.
Neurosurg Focus
; 45(5): E5, 2018 11 01.
Article
em En
| MEDLINE
| ID: mdl-30453459
Palavras-chave
AUC = area under the receiver operating curve; FN = false negative; FP = false positive; GBM = glioblastoma; ML = machine learning; PCNSL = primary central nervous system lymphoma; PRISMA = Preferred Reporting Items for Systematic Reviews and Meta-Analysis; QUADAS-2 = Quality Assessment of Diagnostic Accuracy Studies-2; SVM = support vector machine; TN = true negative; TP = true positive; glioblastoma; machine learning; predictive analytics; primary central nervous system lymphoma; radiological diagnosis
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Neoplasias Encefálicas
/
Glioblastoma
/
Neuroimagem
/
Aprendizado de Máquina
Tipo de estudo:
Diagnostic_studies
/
Guideline
/
Prognostic_studies
/
Systematic_reviews
Limite:
Humans
Idioma:
En
Revista:
Neurosurg Focus
Assunto da revista:
NEUROCIRURGIA
Ano de publicação:
2018
Tipo de documento:
Article