Validation of Results from Knowledge Discovery: Mass Density as a Predictor of Breast Cancer

This publication has 15 references indexed in Scilit:

• Natural Language Processing Using Online Analytic Processing for Assessing Recommendations in Radiology Reports
  Journal of the American College of Radiology, 2008
• Lesion and Patient Characteristics Associated with Malignancy After a Probably Benign Finding on Community Practice Mammography
  American Journal of Roentgenology, 2008
• Short-term Follow-up Results in 795 Nonpalpable Probably Benign Lesions Detected at Screening Mammography
  Radiology, 2001
• An Introduction to Inductive Logic Programming
  2001
• The breast imaging reporting and data system: positive predictive value of mammographic features and final assessment categories.
  American Journal of Roentgenology, 1998
• Breast cancer: prediction with artificial neural network based on BI-RADS standardized lexicon.
  Radiology, 1995
• Diagnostic importance of the radiographic density of noncalcified breast masses: analysis of 91 lesions.
  American Journal of Roentgenology, 1991
• Mammographic follow-up of low-suspicion lesions: compliance rate and diagnostic yield.
  Radiology, 1991
• Nonpalpable breast lesions: recommendations for biopsy based on suspicion of carcinoma at mammography.
  Radiology, 1988
• Nonpalpable lesions detected with mammography: review of 512 consecutive cases.
  Radiology, 1987