|
Scientific Session |
|
| CAD: Breast and Prostate |
|
Monday
|
1:30:00 PM - 3:20:00 PM |
Room: 24 A |
Chair 1: Heang-Ping Chan, Univ Michigan, Ann Arbor, MI
1:30 PM
MO-D24A-1 |
Training Artificial Neural Networks (ANNs) with Multiple Target Values for Two-Class Classification Problems - B. Liu*, Y. Jiang |
1:45 PM
MO-D24A-2 |
Potential Improvement in Computerized Classification of Malignant Mammographic Clustered Microcalcifications Using a Novel Segmentation Method - S. Paquerault*, Y. Jiang, L. Yarusso, J. Papaioannou, R. Nishikawa |
2:00 PM
MO-D24A-3 |
The Influence of True Positive Detection Definitions On the Performance of a Mammographic Mass CAD System - D. Catarious, Jr.*, A. Baydush, C. Floyd |
2:15 PM
MO-D24A-4 |
A Technique for Fully Automated Segmentation of Breast Tumors Using Dynamic Contrast-Enhanced MR Images (WIP) - R. Parakkal* |
2:30 PM
MO-D24A-5 |
A Case-Based Reasoning System to Aid Interpretation of Breast Ultrasound Images Including Imaging System-Dependent Effects - M. Andre*, M. Galperin, C. Green, L. Olson |
2:45 PM
MO-D24A-6 |
Automated Segmentation of the Prostrate From Transabdominal Ultrasound Images - Y. Yu*, J. Molloy, S. Acton |
3:00 PM
MO-D24A-7 |
Comparison of Artificial Neural Network and Multivariate Linear Discriminant Analysis in the Prediction of Extra-Capsular Extension of Prostate Cancer - Y. Peng*, Y. Jiang, W. Chen, X. Yang, C. Brendler, X. Han |
|
|
