Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence in Diagnostic Imaging and Radiation Therapy.
1
Zitationen
1
Autoren
2021
Jahr
Abstract
Artificial intelligence (AI) is a rapidly growing profession that shows continued promise for diagnostic imaging in various disciplines, including dermatology and pathology. The benefits of AI, however, extend beyond the imaging department as radiation oncology departments begin to automate labor-intensive treatment planning processes. Given the increase in interest and research concerning AI, radiologic technologists must become familiar with AI terminology, current and potential applications, challenges, and patient perspectives.
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.