Work

Editorial: Machine Learning With Radiation Oncology Big Data

Year: 2018

Type: editorial

Source: Frontiers in Oncology

DOI: 10.3389/fonc.2018.00416

Authors: Jun Deng, Issam El Naqa, Lei Xing

Institutions: Yale University, University of Michigan, Stanford University

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: gold

Estimated APC paid: $3,801

Funder: National Institute of Biomedical Imaging and Bioengineering

Award: Tracking Organ Doses for Patient Safety in Radiation Therapy

OpenAlex ID: W2889890430

Cites:

Cited by: 8

Related to: 10