Reduction of false positives in computerized detection of lung nodules in chest radiographs using artificial neural networks, discriminant analysis, and a rule-based scheme
- 1 November 1994
- journal article
- research article
- Published by Springer Science and Business Media LLC in Journal of Digital Imaging
- Vol. 7 (4), 196-207
- https://doi.org/10.1007/bf03168540
Abstract
No abstract availableKeywords
This publication has 25 references indexed in Scilit:
- Automatic lung nodule detection using profile matching and back-propagation neural network techniquesJournal of Digital Imaging, 1993
- Quantification of Failure To Demonstrate Statistical SignificanceInvestigative Radiology, 1993
- An Artificial Neural Network for Lesion Detection on Single-Photon Emission Computed Tomographic ImagesInvestigative Radiology, 1992
- Image Feature Analysis of False-Positive Diagnoses Produced by Automated Detection of Lung NodulesInvestigative Radiology, 1992
- Potential Usefulness of Computerized Nodule Detection in Screening Programs for Lung CancerInvestigative Radiology, 1992
- Computerized Scheme for the Detection of Pulmonary NodulesInvestigative Radiology, 1992
- Image feature analysis and computer‐aided diagnosis in digital radiography: Automated delineation of posterior ribs in chest imagesMedical Physics, 1991
- Neural Networks in Radiologic Diagnosis; II. Interpretation of Neonatal Chest RadiographsInvestigative Radiology, 1990
- Some Practical Issues of Experimental Design and Data Analysis in Radiological ROC StudiesInvestigative Radiology, 1989
- ROC Methodology in Radiologic ImagingInvestigative Radiology, 1986