Work

Quantitative imaging features to predict cancer status in lung nodules

Year: 2016

Type: conference-paper

Study design: Observational Study

Source: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

DOI: 10.1117/12.2216809

Authors: Ying Liu, Yoganand Balagurunathan, Thomas Atwater, Sanja Antic, Qian Li, Ronald Walker, Gary T. Smith, Pierre P. Massion, Matthew B. Schabath, Robert J. Gillies

Institutions: Tianjin Medical University Cancer Institute and Hospital, Moffitt Cancer Center, Tianjin Medical University, Vanderbilt University, Veterans Health Administration

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: closed

OpenAlex ID: W2310068251

FWCI: 0.656

Cites: 12

Cited by: 1

Related to: 10