Work

Large Scale Semi-Automated Labeling of Routine Free-Text Clinical Records for Deep Learning

Year: 2018

Type: article

Source: Journal of Imaging Informatics in Medicine

DOI: 10.1007/s10278-018-0105-8

Authors: Hari M. Trivedi, Maryam Panahiazar, April Liang, Dmytro Lituiev, Peter Chang, Jae Ho Sohn, Yunn-Yi Chen, Benjamin L. Franc, Bonnie Joe, Dexter Hadley

Institution: University of California, San Francisco

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Institutes of Health, University of California, San Francisco, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering, U.S. National Library of Medicine

Awards: Crowd-sourcing A STAR Functional Genomic Characterization of Cancer with Open Big Data, G3549828030, Crowd-Assisted Deep Learning (CrADLe) Digital Curation to Translate Big Data into Precision Medicine, Biomedical Imaging for Clinician Scientists

OpenAlex ID: W2888620177

FWCI: 1.126

Cites: 27

Cited by: 25

Related to: 10