Chaired by:
Ronald Summers, CC

Main Auditorium, Natcher Conference Center

After years of development, computer-aided detection (CAD) is moving to the forefront of diagnostic imaging. CAD is now a commercial product for breast cancer detection on mammography, near commercialization for lung nodule detection on chest CT, and in early clinical trials for colonic polyp detection on "virtual colonoscopy.” In this session, we will present the underlying science behind CAD (pattern classification, nonlinear classifiers, observer performance studies, management of large image databases) and show state-of-the-art research and future challenges.

Program

Clinical Issues and Future Challenges
Ronald Summers, CC

Image Segmentation in 3D
Jack Yao, CC

Image Processing for CT Colonography CAD
Marek Franaszek, CC

Software Architecture, Ground Truth Validation and Large Image Databases
Ingmar Bitter, CC

Observer Performance Studies; Statistical Issues for Training and Testing CAD
Nicholas Petrick, FDA