Work

CT texture features of liver parenchyma for predicting development of metastatic disease and overall survival in patients with colorectal cancer

Year: 2017

Type: article

Study design: Observational Study

Source: European Radiology

DOI: 10.1007/s00330-017-5111-6

Authors: Scott J. Lee, Ryan Zea, David H. Kim, Meghan G. Lubner, Dustin A Deming, Perry J. Pickhardt

Institutions: University of Wisconsin–Madison, University of Wisconsin Health

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Center for Advancing Translational Sciences

Award: Institutional Clinical and Translational Science Award

OpenAlex ID: W2769548978

FWCI: 3.568

Cites: 28

Cited by: 42

Related to: 10