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At least 451 records · Page 25Linked to original sources
PubMed2006

Breast ultrasound image enhancement using fuzzy logic.

Breast cancer is still a serious disease in the world. Early detection is very essential for breast cancer prevention and diagnosis. Breast ultrasound (US) imaging has been proven to be a valuable adjunct to mammography in the detection and classification of breast lesions. Because of the fuzzy and noisy nature of the US images and the low contrast between the breast cancer and tissue, it is difficult to provide an accurate and effective diagnosis. This paper presents a novel algorithm based on fuzzy logic that uses both the global and local information and has the ability to enhance the fine details of the US images while avoiding noise amplification and overenhancement. We normalize the images and then fuzzify the normalized images based on the maximum entropy principle. Edge and textural information are extracted to describe the lesion features and the scattering phenomenon of US images and the contrast ratio measuring the degree of enhancement is computed and modified. The defuzzification process is used to obtain the enhanced US images. To demonstrate the performance of the proposed approach, the algorithm was tested on 86 breast US images. Experimental results confirm that the proposed method can effectively enhance the details of the breast lesions without overenhancement or underenhancement.

Algorithms↗
PubMed2003

Display-control arrangement correspondence and logical recoding in the Hedge and Marsh reversal of the Simon effect.

When left and right keypresses are made to stimuli in left and right locations, and stimulus location is irrelevant to the task, responses are typically faster when stimulus location corresponds with response location than when it does not (the Simon effect). This effect reverses when the relevant stimulus-response mapping is incompatible, with responses being slower when stimulus and response locations correspond (the Hedge and Marsh reversal). Simon et al. (Acta Psychol. 47 (1981) 63) reported an exception to the Hedge and Marsh reversal for a situation in which the relevant stimulus dimension was the color of a centered visual stimulus and the irrelevant location information was left or right tone location. In contrast, similar experiments have found a reversal of the Simon effect for tone location when relevant visual locations were mapped incompatibly to responses. We conducted four experiments to investigate this discrepancy. Both results were replicated. With an incompatible mapping, irrelevant tone location showed a small reverse Simon effect when the relevant visual dimension was physical location but not when the color of a centered stimulus or the direction in which an arrow pointed conveyed the visual location information. The reversal occurred in a more standard Hedge and Marsh task in which the irrelevant dimension was location of the colored stimulus, but only when the response keys were visibly labeled. Several of the results suggest that display-control arrangement correspondence is the primary cause of the Hedge and Marsh reversal, with logical recoding playing only a secondary role.

Color Perception↗
PubMed2000

A fuzzy logic model of fracture healing.

A quantitative biomechanical model describes the tissue transformation during healing of a transverse osteotomy of a sheep metatarsal. The model predicts bridging of the bone ends through cartilage, followed by the growth of a callus cuff, and finally, the resorption of callus after ossification of the interfragmentary gap. We suggest bone density or the modulus of elasticity do not sufficiently characterize healing tissue for predictive purposes. In addition to the stimulus reflected by strain energy density we introduce a new osteogenic factor based upon stress gradients and which predicts areas of a high osteogenic capacity. Our model distinguishes three basic types of tissue, namely bone, cartilage and fibrous tissue. A fuzzy controller is proposed to model the tissue reaction. A set of fuzzy rules derived from medical knowledge has been implemented to describe tissue transformation such as intramembraneous or chondral ossification, atrophy or destruction. Fuzzy logic is able to model tissue transformation processes within the numerical simulation of remodeling processes. This approach improves the simulation tools and affords the potential to optimize planning of animal experiments and conduct parametric studies.

Algorithms↗
PubMedDate not supplied

The across-fiber pattern theory and fuzzy logic: a matter of taste.

This article discusses a Fuzzy Logic (FL)-based model of neural coding and integration, proposed to be a formal extension of the Across-Fiber Pattern (AFP) theory. FL integration is conceptually similar to Bayesian reasoning, thus providing close-to-optimal decisions, and is also robust in that it does not require complete information. As a formal extension of AFP theory, the FL model describes sensory integration given multiple sources of information. When applied to gustation, the FL model is suggested to describe integration of information at the level of real-time pattern of single neural responses, population coding, and taste perception, as well as to provide a suitable description of taste mixtures.

Animals↗
PubMed2002

Logical implications of applying the principles of population genetics to the interpretation of DNA profiling evidence.

There have been several efforts to codify the approach to interpreting DNA evidence [National Research Council, The Evaluation of Forensic DNA Evidence, National Academy Press, Washington, DC, 1996; I.W. Evett, B.S. Weir, Interpreting DNA Evidence: Statistical Genetics for Forensic Scientists Sinauer, Sunderland, MA, 1998]. Despite these efforts there are still aspects of ad hoc decision making in modern DNA interpretation. This article discusses some of the remaining areas of concern in this respect. Because of the immense discriminating power of DNA evidence it is unlikely that these concerns would contribute to a miscarriage of justice. They are more likely to lead to lengthy and wasteful debate in court, and to potential appeals. We advocate a previously developed approach to DNA evidence [Sci. Justice 39 (4) (1999) 257; B.S. Weir, in: D.J. Balding, C. Cannings, M. Bishop (Eds.), Handbook of Statistical Genetics, Wiley Series in Probability and Statistics, Wiley, New York, ISBN: 0-471-86094-8, 2001; J. R. Stat. Soc. A 158 (1) (1995) 21] that would give a more solid logical foundation and hopefully lead to sounder and less debatable testimony.

DNA Fingerprinting↗
PubMedDate not supplied

Fuzzy logic in a patient supervision system.

A patient supervision system in progress for intensive and coronary care units, focused on patients with acute myocardial infarct is briefly described particularly regarding the role that fuzzy logic is playing in its design, and why this is so.

Artificial Intelligence↗
PubMedDate not supplied

Fuzzy logic for decision support in chronic care.

Computerized clinical guidelines can provide significant benefits in terms of health outcomes and costs, however, their effective computer implementation presents significant problems. Vagueness and ambiguity inherent in natural language (textual) clinical guidelines makes them problematic for formulating automated alerts or advice. Fuzzy logic allows us to formalize the treatment of vagueness in a decision support architecture. In care plan on-line (CPOL), an intranet-based chronic disease care planning system for general practitioners (GPs) in use in South Australia, we formally treat fuzziness in interpretation of quantitative data, formulation of recommendations and unequal importance of clinical indicators. We use expert judgment on cases, as well as direct estimates by experts, to optimize aggregation operators and treat heterogeneous combinations of conjunction and disjunction that are present in the natural language decision rules formulated by specialist teams.

Artificial Intelligence↗
PubMedDate not supplied

Tuning of myoelectric prostheses using fuzzy logic.

This contribution concerns the use of a supervisory expert system based on fuzzy logic for the parameter adjusting of myoelectric prostheses. The prosthesis system is an artificial arm produced by INAIL in Vigorso (Bologna, Italy), which is equipped with an on-board actuation system. The expert system guides patients through an interactive session whose aim is to test the prosthesis functionality and, when necessary, to self-adjust the parameters.

Artificial Limbs↗
PubMed2003

Temporal abstraction and inductive logic programming for arrhythmia recognition from electrocardiograms.

This paper proposes a novel approach to cardiac arrhythmia recognition from electrocardiograms (ECGs). ECGs record the electrical activity of the heart and are used to diagnose many heart disorders. The numerical ECG is first temporally abstracted into series of time-stamped events. Temporal abstraction makes use of artificial neural networks to extract interesting waves and their features from the input signals. A temporal reasoner called a chronicle recogniser processes such series in order to discover temporal patterns called chronicles which can be related to cardiac arrhythmias. Generally, it is difficult to elicit an accurate set of chronicles from a doctor. Thus, we propose to learn automatically from symbolic ECG examples the chronicles discriminating the arrhythmias belonging to some specific subset. Since temporal relationships are of major importance, inductive logic programming (ILP) is the tool of choice as it enables first-order relational learning. The approach has been evaluated on real ECGs taken from the MIT-BIH database. The performance of the different modules as well as the efficiency of the whole system is presented. The results are rather good and demonstrate that integrating numerical techniques for low level perception and symbolic techniques for high level classification is very valuable.

Algorithms↗
PubMed1997

Application of fuzzy logic in multicomponent analysis by optodes.

Fuzzy logic can be a useful tool for the determination of substrate concentrations applying optode arrays in combination with flow injection analysis, UV-VIS spectroscopy and kinetics. The transient diffuse reflectance spectra in the visible wavelength region from four optodes were evaluated to carry out the simultaneous determination of artificial mixtures of ampicillin and penicillin. The discrimination of the samples was achieved by changing the composition of the receptor gel and working pH. Different algorithms of pre-processing were applied on the data to reduce the spectral information to a few analytic-specific variables. These variables were used to develop the fuzzy model. After calibration the model was validated by an independent test data set.

Ampicillin↗
PubMed1999

Fuzzy logic algorithm for quantitative tissue characterization of diffuse liver diseases from ultrasound images.

Computerized ultrasound tissue characterization has become an objective means for diagnosis of liver diseases. It is difficult to differentiate diffuse liver diseases, namely cirrhotic and fatty liver by visual inspection from the ultrasound images. The visual criteria for differentiating diffused diseases are rather confusing and highly dependent upon the sonographer's experience. This often causes a bias effects in the diagnostic procedure and limits its objectivity and reproducibility. Computerized tissue characterization to assist quantitatively the sonographer for the accurate differentiation and to minimize the degree of risk is thus justified. Fuzzy logic has emerged as one of the most active area in classification. In this paper, we present an approach that employs Fuzzy reasoning techniques to automatically differentiate diffuse liver diseases using numerical quantitative features measured from the ultrasound images. Fuzzy rules were generated from over 140 cases consisting of normal, fatty, and cirrhotic livers. The input to the fuzzy system is an eight dimensional vector of feature values: the mean gray level (MGL), the percentile 10%, the contrast (CON), the angular second moment (ASM), the entropy (ENT), the correlation (COR), the attenuation (ATTEN) and the speckle separation. The output of the fuzzy system is one of the three categories: cirrhosis, fatty or normal. The steps done for differentiating the pathologies are data acquisition and feature extraction, dividing the input spaces of the measured quantitative data into fuzzy sets. Based on the expert knowledge, the fuzzy rules are generated and applied using the fuzzy inference procedures to determine the pathology. Different membership functions are developed for the input spaces. This approach has resulted in very good sensitivities and specificity for classifying diffused liver pathologies. This classification technique can be used in the diagnostic process, together with the history information, laboratory, clinical and pathological examinations.

Algorithms↗
PubMed2002

Deoxyribozyme-based logic gates.

We report herein a set of deoxyribozyme-based logic gates capable of generating any Boolean function. We construct basic NOT and AND gates, followed by the more complex XOR gate. These gates were constructed through a modular design that combines molecular beacon stem-loops with hammerhead-type deoxyribozymes. Importantly, as the gates have oligonucleotides as both inputs and output, they open the possibility of communication between various computation elements in solution. The operation of these gates is conveniently connected to a fluorescent readout.

Base Sequence↗
PubMed2005

Deoxyribozyme-based ligase logic gates and their initial circuits.

A complete set (YES, NOT, AND, and ANDNOT) of molecular scale logic gates based on ligase deoxyribozymes was constructed. The activity of these gates was visualized through the formation of cascades with downstream phosphodieseterase YES gates, which performed fluorogenic cleavage.

Base Sequence↗
PubMed2005

Cellular logic with orthogonal ribosomes.

The creation and use of unnatural molecules to control cellular function is a long standing goal of the chemical community, but in general, these efforts have been directed at finding molecules to inhibit or activate a particular molecular target or function, or to elicit a particular phenotype. Here we show that multiple unnatural molecules (orthogonal ribosomes) can be used combinatorially, in a single cell, to program Boolean logic functions. These experiments show how attention to the molecular specificity of noncovalent interactions between unnatural macromolecules allows the synthesis of complex function from the "bottom-up" in living matter.

Base Sequence↗
PubMed1999

Genetic matches and the logic of the law.

In a recent article Levine and Kobilinsky (1997) point out that current methods in forensic DNA 'identification' are inadequate because the commercial kits commonly used in forensic practice do not detect the true genotype, but rather a genotype based on convenient categorization. For this reason, Levine and Kobilinsky argue that statistics attached to such categorizations are invalid. The authors believe that the arguments of Levine and Kobilinsky are logically flawed.

Criminal Law↗
PubMed2003

Survey of fuzzy logic applications in brain-related researches.

The aim of this study was to survey fuzzy logic (FL) applications in brain researches. In general, these applications are related to pattern recognition for localization in brain structures or tumor detection, image segmentation, and simulations. In recent years, neural networks and FL are gaining popularity. FL is based on the observation of people. The enormous amount of information representation by the brain suggests that FL principles can be useful, especially for complex brain functions. Causal models based on functional neuroanatomy can be then implemented in computer simulations to reflect the dynamical intersection of brain structures. FL is considered as an appropriate tool for modelling and control. FL has been applied in different ways to brain researches. This paper surveys the utilization of FL in brain researches.

Biomedical Research↗
PubMed2003

Applying value analysis and fuzzy logic to select areas for installing waste fills.

This article discusses a methodology for assessing and ranking a predefined universe of objects to assist in the selection of suitable areas for the construction of sanitary landfills. The methodology is, in principle, for universal application. Its development was initially based on the 'Value Analysis' methodology and then on the 'Fuzzy Eigenvector Method', or 'Fuzzy Logic' as it is sometimes referred to. The focus of the study herein is on the comparative appraisal of a group of elements which are part of the guidelines to be adopted when determining the choice of the most suitable site for a sanitary landfill. This set of guidelines includes technical, economical, environmental, social and political aspects. As an example of the methodology proposed, four different areas were chosen. They were studied to determine which is the most appropriate site for the development of a new solid waste fill site. The results for these four areas, together with the functions chosen and function weights, are presented here.

Decision Making↗
PubMed1993

The paradigm and the fuzzy logical model of perception are alive and well.

Cutting, Bruno, Brady, and Moore (1992) criticized the paradigm for inquiry and the fuzzy logical model of perception (FLMP) presented in Massaro (1988a). In this reply to their remarks, it is shown that (a) the properties of the paradigm are ideal for inquiry; (b) models are best tested against the results of individual subjects and not average group data; (c) model fitting and analysis of variance do not give contradictory results; (d) the FLMP can be proven false and does not have a superpower to predict a plethora of functions or to absorb random variability; and (e) various extraneous characteristics of a model, such as equation length, cannot account for the success of the FLMP. On the other hand, the empirical findings of Cutting et al. give important new properties of pattern recognition. Finally, Cutting's theory of directed perception is compared with the FLMP.

Decision Making↗