Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
CleanX: A Python library for data cleaning of largesets of radiology images
2
Zitationen
4
Autoren
2022
Jahr
Abstract
Radiological images of various anatomy are part of the diagnostic work-up for millions of patients for diverse indications. A considerable amount of time and resources have gone into developing automated diagnostic interpretation of these images. The purpose of this library is to help scientists, medical professionals, and programmers create better datasets upon which algorithms related to X-rays, MRIs or CTs can be based.
Ähnliche Arbeiten
New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)
2008 · 29.091 Zit.
TNM Classification of Malignant Tumours
1987 · 16.123 Zit.
A survey on deep learning in medical image analysis
2017 · 13.806 Zit.
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
2011 · 10.844 Zit.
The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM
2010 · 9.125 Zit.