Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
The role of artificial intelligence in the differential thyroid nodules ultrasound diagnostics
3
Zitationen
6
Autoren
2022
Jahr
Abstract
Advances in the development and improvement of medical technologies and methods of processing medical images make it possible to highlight clinically significant characteristics that were not previously available to classical methods of medical imaging. Ultrasound diagnostics of thyroid gland nodules has a huge potential medical images processing. The article presents an overview of the existing ultrasound classification systems for thyroid nodules malignancy and the prospects for the development of intellectual tools TIRADS (Thyroid Imaging Reporting and Data System) classification system.
Ähnliche Arbeiten
New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)
2008 · 28.850 Zit.
TNM Classification of Malignant Tumours
1987 · 16.123 Zit.
A survey on deep learning in medical image analysis
2017 · 13.540 Zit.
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
2011 · 10.752 Zit.
The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM
2010 · 9.106 Zit.