Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Supplementary Figure s5 from An Artificial Intelligence–Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma
2025·0 ZitationenOpen Access
Volltext beim Verlag öffnen0
Zitationen
17
Autoren
2025
Jahr
Abstract
<p>Perform image testing for web applications to ensure their proper functionality.</p>
Ähnliche Arbeiten
New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)
2008 · 28.886 Zit.
TNM Classification of Malignant Tumours
1987 · 16.123 Zit.
A survey on deep learning in medical image analysis
2017 · 13.563 Zit.
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
2011 · 10.762 Zit.
The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM
2010 · 9.107 Zit.
Autoren
Themen
Radiomics and Machine Learning in Medical ImagingThyroid Cancer Diagnosis and TreatmentArtificial Intelligence in Healthcare and Education