The development and evaluation of CADMIUM: a prototype system to assist in the interpretation of mammograms
References (48)
Mammographic analysis of calcifications
Radiol. Clin. North Am.
(1992)Decision aids in radiology
Radiol. Clin. North Am.
(1996)Stochastic model for automated detection of calcifications in digital mammograms
Image Vision Comput.
(1992)- et al.
Computer-aided diagnosis of breast-cancer—artificial neural-network approach for optimized merging of mammographic features
Acad. Radiol.
(1995) Evaluation of breast microcalcifications
Radiol. Clin. North. Am.
(1995)- et al.
Descriptive terms for mammographic abnormalities: observer variation in application
Clin. Radiol.
(1996) - et al.
A model for integrating image processing into decision aids for diagnostic radiology
Artif. Intell. Med.
(1997) - (1991)
- (1992)
- et al.
Breast imaging reporting and data system standardized mammography lexicon: observer variability in lesion description
Am. J. Roentgenol.
(1996)
Segmentation and numerical analysis of microcalcifications on mammograms using mathematical morphology
Brit. J. Radiol.
Automatic microcalcifications localisation using matched Fourier filtering
Detection of mammographic microcalcifications using a statistical model
Computer-aided detection of microcalcifications in mammograms: methodology and preliminary clinical study
Invest. Radiol.
Computer-aided detection of mammographic microcalcifications: pattern recognition with an artificial neural network
Med. Phys.
Classification of mammographic microcalcifications using image structure and cluster features
Application of expert systems to mammographic image analysis
Am. J. Physiol. Imag.
Automatic detection of microcalcifications in digital mammograms
Brit. J. Radiol.
Reading and decision aids for improved accuracy and standardization of mammographic diagnosis
Radiology
Alignment of fibroblasts on grooved surfaces described by a simple geometric transform
J. Cell Sci.
A unified framework for hypothetical and practical reasoning (2): lessons from medical applications
Proc. 1st Int. Conf. on Formal and Applied Practical Reasoning
Decision support and disease management a logic engineering approach
IEEE Trans. Inform. Technol. Biomed.
Conduite a tenir devant une mammographie revelatrice de microcalcifications groupees sans tumeur palpable
Nouv. Presse Med.
Cited by (29)
Cognitive systems at the point of care: The CREDO program
2017, Journal of Biomedical InformaticsCitation Excerpt :The earliest trialed PROforma applications were decision support systems for general practitioners in making routine medication decisions [21,46], genetic risk assessments [10,7] and when deciding whether patients require urgent referral to cancer specialists (see Appendix, Fig. A1). Trials in specialist care included radiological image interpretation [44]; treatment of leukemia in children [4] and diagnosis and treatment of breast cancer [36,37], Thyroid disease [40] and colon cancer [33]. All trials to date have shown improvements in clinical decision making, and in some cases major improvements over unaided human judgment.
OpenClinical.net: A platform for creating and sharing knowledge and promoting best practice in healthcare
2015, Computers in IndustryCitation Excerpt :Early PROforma applications were developed for prescribing medications, genetic risk assessments and decisions about whether patients required urgent referral to cancer specialists, and were very promising [17–19]. Later applications focused on specialist care, particularly cancer care, including radiological image interpretation; treatment of leukaemia in children and diagnosis and treatment of breast cancer [20–23]. All these applications have demonstrated significant improvements in quality of decision-making, and in some cases dramatic improvements over unaided human judgment.
A kernel-based approach to categorizing laryngeal images
2007, Computerized Medical Imaging and GraphicsCitation Excerpt :In such a situation, a decision support system for automated analysis and interpretation of medical data is of great value. Recent developments in this area have shown that physicians benefit from the advise of decision support systems in terms of increased reliability of the analysis, decreased intra- and inter-observer variability [1–4]. This paper, is concerned with an approach to automated analysis of vocal fold – laryngeal – images aiming to categorize diseases of vocal folds.
Towards a computer-aided diagnosis system for vocal cord diseases
2006, Artificial Intelligence in MedicineCitation Excerpt :In such a situation, a decision support system for an automated analysis and interpretation of medical data is of great value. Recent developments in this area have shown that physicians benefit from the advise of decision support systems in terms of increased reliability of the analysis, decreased intra- and inter-observer variability [1–4]. In this paper, we propose an approach to an automated analysis of vocal cord images aiming to categorize diseases of vocal cords.
Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines
2005, Artificial Intelligence in Medicine7 Knowledge, arguments, and intentions in clinical decision-making
2005, Studies in Multidisciplinarity