Work

Using quantitative image analysis to classify axillary lymph nodes on breast MRI: A new application for the Z 0011 Era

Year: 2014

Type: article

Source: European Journal of Radiology

DOI: 10.1016/j.ejrad.2014.12.003

Authors: David V. Schacht, Karen Drukker, Iris Pak, Hiroyuki Abe, Maryellen L. Giger

Institution: University of Chicago

Language: English

Topic: MRI in cancer diagnosis

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: U.S. Department of Energy, National Institutes of Health, National Cancer Institute, National Center for Research Resources, National Center for Advancing Translational Sciences

Awards: High-Performance Computer Cluster for Image Analysis, Quantitative Image Analysis for Assessing Response to Breast Cancer Therapy, G4259319540, Lesion Composition and Quantitative Imaging Analysis on Breast Cancer Diagnosis, G583352705, G6455206552, SPORE in Breast Cancer, G898378059, G9000291525

OpenAlex ID: W1964262357

FWCI: 1.557

Cites: 16

Cited by: 30

Related to: 10