Enhancement of breast CADx with unlabeled dataa)
Abstract
Unlabeled medical image data are abundant, yet the process of converting them into a labeled (“truth‐known”) database is time and resource expensive and fraught with ethical and logistics issues. The authors propose a dual‐stage CADx scheme in which both labeled and unlabeled (truth‐known and “truth‐unknown”) data are used. This study is an initial exploration of the potential for leveraging unlabeled data toward enhancing breast CADx.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jul 20, 2010
- Source ID
- 10.1118/1.3455704
Entities
People
- Andrew R. Jamieson
- Karen Drukker
- Lorenzo L. Pesce
- Maryellen Lissak Giger
Organizations
- National Institutes of Health
- United States Army Medical Research and Development Command
- United States Department of Defense
- United States Department of Energy