Use of artificial neural networks in modeling associations of discriminant factors: towards an intelligent selective breast cancer screening
- 28 May 1999
- journal article
- Published by Elsevier in Artificial Intelligence in Medicine
- Vol. 16 (3) , 299-309
- https://doi.org/10.1016/s0933-3657(99)00004-4
Abstract
No abstract availableKeywords
This publication has 41 references indexed in Scilit:
- Essential fatty acids and breast cancer: A case-control study in UruguayInternational Journal of Cancer, 1998
- Dietary fiber and risk of breast cancer: A case‐control study in UruguayNutrition and Cancer, 1997
- Determining and classifying the region of interest in ultrasonic images of the breast using neural networksArtificial Intelligence in Medicine, 1996
- Computer‐aided detection of mammographic microcalcifications: Pattern recognition with an artificial neural networkMedical Physics, 1995
- Evolving neural networks for detecting breast cancerCancer Letters, 1995
- Breast cancer: prediction with artificial neural network based on BI-RADS standardized lexicon.Radiology, 1995
- Cancer mortality trends in Uruguay 1953–1991International Journal of Cancer, 1994
- A Comparison of Prospective and Retrospective Assessments of Diet in the Study of Breast CancerAmerican Journal of Epidemiology, 1993
- BREAST CANCER RISK ASSOCIATED WITH PROLIFERATIVE DISEASE, AGE AT FIRST BIRTH, AND A FAMILY HISTORY OF BREAST CANCER1American Journal of Epidemiology, 1987
- ŒSTROGEN FRACTIONS DURING EARLY REPRODUCTIVE LIFE IN THE ÆTIOLOGY OF BREAST CANCERThe Lancet, 1969