Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Radiomic-Based Machine Learning Classifiers for HPV Status Prediction in Oropharyngeal Cancer: A Systematic Review and Meta-Analysis
1
Zitationen
15
Autoren
2025
Jahr
Abstract
: Radiomic-based ML models show potential for HPV status prediction in OPSCC, but methodological heterogeneity and a high RoB limit current clinical applicability.
Ähnliche Arbeiten
TNM Classification of Malignant Tumours
1987 · 16.123 Zit.
A survey on deep learning in medical image analysis
2017 · 13.872 Zit.
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
2011 · 10.859 Zit.
The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM
2010 · 9.135 Zit.
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
2018 · 8.706 Zit.
Autoren
Institutionen
- Universidade de São Paulo(BR)
- Hospital Israelita Albert Einstein(BR)
- AC Camargo Hospital(BR)
- Universidade Estadual de Campinas (UNICAMP)(BR)
- Methodist University of Piracicaba(BR)
- Universidad de Oviedo(ES)
- Hospital Universitario Central de Asturias(ES)
- Jena University Hospital(DE)
- University Medical Center Utrecht(NL)
- Poznan University of Medical Sciences(PL)
- University of Zielona Góra(PL)
- Radboud University Nijmegen(NL)
- University Medical Center(US)
- Radboud University Medical Center(NL)
- Emory University(US)