AIMC Topic:
Fuzzy Logic
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Medical image segmentation via atlases and fuzzy object models: Improving efficacy through optimum object search and fewer models.
Medical physics
Jan 1, 2016
PURPOSE: Statistical object shape models (SOSMs), known as probabilistic atlases, are popular in medical image segmentation. They register an image into the atlas coordinate system, such that a desired object can be delineated from the constraints of...
Improvement of the Performance of an Electrocoagulation Process System Using Fuzzy Control of pH.
Water environment research : a research publication of the Water Environment Federation
Dec 1, 2015
The removal efficiencies of electrocoagulation (EC) systems are highly dependent on the initial value of pH. If an EC system has an acidic influent, the pH of the effluent increases during the treatment process; conversely, if such a system has an al...
Protein-protein interaction site prediction in Homo sapiens and E. coli using an interaction-affinity based membership function in fuzzy SVM.
Journal of biosciences
Oct 1, 2015
Protein-protein interaction (PPI) site prediction aids to ascertain the interface residues that participate in interaction processes. Fuzzy support vector machine (F-SVM) is proposed as an effective method to solve this problem, and we have shown tha...
SPEQTACLE: An automated generalized fuzzy C-means algorithm for tumor delineation in PET.
Medical physics
Oct 1, 2015
PURPOSE: Accurate tumor delineation in positron emission tomography (PET) images is crucial in oncology. Although recent methods achieved good results, there is still room for improvement regarding tumors with complex shapes, low signal-to-noise rati...
Searching arousals: A fuzzy logic approach.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2015
This paper presents a computational approach to detect spontaneous, chin tension and limb movement-related arousals by estimating neuronal and muscular activity. Features extraction is carried out by Time Varying Autoregressive Moving Average (TVARMA...
Characterization of complexity in the electroencephalograph activity of Alzheimer's disease based on fuzzy entropy.
Chaos (Woodbury, N.Y.)
Aug 1, 2015
In this paper, experimental neurophysiologic recording and statistical analysis are combined to investigate the nonlinear characteristic and the cognitive function of the brain. Fuzzy approximate entropy and fuzzy sample entropy are applied to charac...
A proposal for patient-tailored supervision of movement performance during end-effector-based robot-assisted rehabilitation of the upper extremities.
Biomedizinische Technik. Biomedical engineering
Jun 1, 2015
Millions of people worldwide suffer from stroke each year. One way to assist patients cost-effectively during their rehabilitation process is using end-effector-based robot-assisted rehabilitation. Such systems allow patients to use their own movemen...
[Derivation of the optimum exposure condition for Guthmann-method by the fuzzy measure theory].
Nihon Hoshasen Gijutsu Gakkai zasshi
Apr 1, 2015
The purpose of this study is to decide the optimum exposure condition of Guthmann-method by the fuzzy measure theory. The samples for the fuzzy measure theory were created using the pelvis-phantom irradiated with various tube voltages (90-120 kV) and...
An enhanced fuzzy min-max neural network for pattern classification.
IEEE transactions on neural networks and learning systems
Mar 1, 2015
An enhanced fuzzy min-max (EFMM) network is proposed for pattern classification in this paper. The aim is to overcome a number of limitations of the original fuzzy min-max (FMM) network and improve its classification performance. The key contribution...
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