Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Automatic Diagnosis Labeling of Cardiovascular MRI by Using Semisupervised Natural Language Processing of Text Reports
31
Zitationen
9
Autoren
2021
Jahr
Abstract
The developed model used labels extracted from radiology reports to provide automated diagnosis categorization of MR images with a high level of performance.<b>Keywords:</b> Semisupervised Learning, Diagnosis/Classification/Application Domain, Named Entity Recognition, MRI <i>Supplemental material is available for this article.</i> © RSNA, 2021.
Ähnliche Arbeiten
New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)
2008 · 28.995 Zit.
TNM Classification of Malignant Tumours
1987 · 16.123 Zit.
A survey on deep learning in medical image analysis
2017 · 13.704 Zit.
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
2011 · 10.810 Zit.
The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM
2010 · 9.119 Zit.