Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
DICOM Structured Reporting and Cancer Clinical Trials Results
57
Zitationen
1
Autoren
2007
Jahr
Abstract
The use of biomarkers derived from radiological images as surrogate end-points in therapeutic cancer clinical trials is well established. DICOM is the ubiquitous standard for the interchange of images for both clinical use as well as research. It also has capabilities for the exchange of image-related information, including categorical and quantitative information derived from images. The use of DICOM Structured Reporting for the encoding and interchange of clinical trial results in a standard manner is reviewed.
Ähnliche Arbeiten
TNM Classification of Malignant Tumours
1987 · 16.123 Zit.
A survey on deep learning in medical image analysis
2017 · 13.880 Zit.
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
2011 · 10.863 Zit.
The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM
2010 · 9.137 Zit.
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
2018 · 8.713 Zit.