Work

Delivering high-quality head-and-neck low-risk clinical target volumes through a fully-automated artificial intelligence-based approach

Year: 2020

Type: article

Source: International Journal of Radiation Oncology*Biology*Physics

DOI: 10.1016/j.ijrobp.2019.11.377

Authors: C.E. Cardenas, B.M. Beadle, D.J. Rhee, R. McCarroll, L. Zhang, J. Yang, L.E. Court

Institutions: The University of Texas MD Anderson Cancer Center, Stanford University, University of Maryland Medical Center

Language: English

Topic: Advanced Radiotherapy Techniques

Subfield: Radiation

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W3012046020

FWCI: 0.358

Cites:

Cited by: 3

Related to: 10