Work

Translational Radiomics: Defining the Strategy Pipeline and Considerations for Application—Part 2: From Clinical Implementation to Enterprise

Year: 2018

Type: review

Source: Journal of the American College of Radiology

DOI: 10.1016/j.jacr.2017.12.006

Authors: Faiq Shaikh, Benjamin Franc, Erastus Allen, Evis Sala, Omer Awan, Kenneth Hendrata, Safwan Halabi, Sohaib Mohiuddin, Sana Malik, Dexter Hadley, Rasu Shrestha

Institutions: University of California, San Francisco, UPMC Enterprises (United States), Memorial Sloan Kettering Cancer Center, Temple University, Carnegie Mellon University, Stanford University, University of Miami, Stony Brook University

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 Cancer Institute, U.S. National Library of Medicine

Awards: Crowd-sourcing A STAR Functional Genomic Characterization of Cancer with Open Big Data, Crowd-Assisted Deep Learning (CrADLe) Digital Curation to Translate Big Data into Precision Medicine

OpenAlex ID: W2785269217

FWCI: 0.351

Cites: 71

Cited by: 10

Related to: 10