Radiological Image Traits Predictive of Cancer Status in Pulmonary Nodules
Abstract
Purpose: We propose a systematic methodology to quantify incidentally identified pulmonary nodules based on observed radiological traits (semantics) quantified on a point scale and a machine-learning method using these data to predict cancer status.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Mar 14, 2017
- Source ID
- 10.1158/1078-0432.ccr-15-3102
Entities
People
- Gary T. Smith
- Li Qian
- Matthew B. Schabath
- Pierre P. Massion
- Robert J Gillies
- Ronald C. Walker
- Sanja Antic
- Thomas Atwater
- Ying Liu
- Yoganand Balagurunathan
Organizations
- Florida Department of Health
- H. Lee Moffitt Cancer Center & Research Institute
- National Institutes of Health
- Tianjin Medical University
- United States Department of Defense
- Vanderbilt University