Abstract

The purpose of this project is to develop computer-aided diagnosis for a wide variety of radiologic images. Examples include pulmonary embolus detection and detection of subcutaneous melanomas on CT scans. This project uses existing NIH CT scan images.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
Clinical Center (CLC)
Type
Intramural Research (Z01)
Project #
1Z01CL040004-02
Application #
7005979
Study Section
(DRD)
Project Start
Project End
Budget Start
Budget End
Support Year
2
Fiscal Year
2004
Total Cost
Indirect Cost

  Institution

Name
Clinical Center
Department
Type
DUNS #
City
State
Country
United States
Zip Code

  Publications

Summers, Ronald M (2018) Deep Learning Lends a Hand to Pediatric Radiology. Radiology 287:323-325
Burns, Joseph E; Yao, Jianhua; Summers, Ronald M (2017) Vertebral Body Compression Fractures and Bone Density: Automated Detection and Classification on CT Images. Radiology 284:788-797
Burns, Joseph E; Yao, Jianhua; Muñoz, Hector et al. (2016) Automated Detection, Localization, and Classification of Traumatic Vertebral Body Fractures in the Thoracic and Lumbar Spine at CT. Radiology 278:64-73
O'Connor, Stacy D; Yao, Jianhua; Summers, Ronald M (2007) Lytic metastases in thoracolumbar spine: computer-aided detection at CT--preliminary study. Radiology 242:811-6
Solomon, Jeffrey; Mavinkurve, Sara; Cox, Derrick et al. (2004) Computer-assisted detection of subcutaneous melanomas: feasibility assessment. Acad Radiol 11:678-85
Summers, Ronald M (2003) Road maps for advancement of radiologic computer-aided detection in the 21st century. Radiology 229:11-3