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3. SCSat: A Soft Constraint Guided SAT Solver

4. Correspondence among Subjective and Objective Similarities and Pathologic Types of Breast Masses on Digital Mammography

6. Morlet-RBF SVM Model for Medical Images Classification

7. State-of-the-Art of Computer-Aided Detection/Diagnosis (CAD)

8. Automatic Measurement of Vertical Cup-to-Disc Ratio on Retinal Fundus Images

9. Classifying Breast Masses in Volumetric Whole Breast Ultrasound Data: A 2.5-Dimensional Approach

10. Introducing a Novel Image Quality Measure for Digital Phase-Contrast-Image Evaluation

11. Classification of Benign and Malignant Masses in Ultrasound Breast Image Based on Geometric and Echo Features

12. Development of Whole Breast Ultrasound Viewer and Automated Mass Detection System

13. Computerized Classification of Mammary Gland Patterns in Whole Breast Ultrasound Images

14. Preliminary Evaluation of a Phase Contrast Imaging with Digital Mammography

16. CAD on Liver Using CT and MRI

17. CAD on Brain, Fundus, and Breast Images

18. Constructing a Probabilistic Model for Automated Liver Region Segmentation Using Non-contrast X-Ray Torso CT images

19. Complementary Role of Computer Aided Detection in Mammography

20. Automated Detection Method for Architectural Distortion with Spiculation Based on Distribution Assessment of Mammary Gland on Mammogram

21. Development of Breast Ultrasound CAD System for Screening

22. Classifying Masses as Benign or Malignant Based on Co-occurrence Matrix Textures: A Comparison Study of Different Gray Level Quantizations

31. Model Generation with Boolean Constraints

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