AIMC Topic: Fuzzy Logic

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Applying fuzzy logic to estimate the parameters of the length-weight relationship.

Brazilian journal of biology = Revista brasleira de biologia
We evaluated three mathematical procedures to estimate the parameters of the relationship between weight and length for Cichla monoculus: least squares ordinary regression on log-transformed data, non-linear estimation using raw data and a mix of mul...

Minimally interactive segmentation of 4D dynamic upper airway MR images via fuzzy connectedness.

Medical physics
PURPOSE: There are several disease conditions that lead to upper airway restrictive disorders. In the study of these conditions, it is important to take into account the dynamic nature of the upper airway. Currently, dynamic magnetic resonance imagin...

A modified fuzzy C-means method for segmenting MR images using non-local information.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: In recent years, MR images have been increasingly used in therapeutic applications such as image-guided radiotherapy (IGRT). However, images with low contrast values and noises present challenges for image segmentation.

A hierarchical two-phase framework for selecting genes in cancer datasets with a neuro-fuzzy system.

Technology and health care : official journal of the European Society for Engineering and Medicine
Finding the minimum number of appropriate biomarkers for specific targets such as a lung cancer has been a challenging issue in bioinformatics. We propose a hierarchical two-phase framework for selecting appropriate biomarkers that extracts candidate...

Fuzzy-Logic Based Detection and Characterization of Junctions and Terminations in Fluorescence Microscopy Images of Neurons.

Neuroinformatics
Digital reconstruction of neuronal cell morphology is an important step toward understanding the functionality of neuronal networks. Neurons are tree-like structures whose description depends critically on the junctions and terminations, collectively...

[The Identification of Lettuce Varieties by Using Unsupervised Possibilistic Fuzzy Learning Vector Quantization and Near Infrared Spectroscopy].

Guang pu xue yu guang pu fen xi = Guang pu
To solve the noisy sensitivity problem of fuzzy learning vector quantization (FLVQ), unsupervised possibilistic fuzzy learning vector quantization (UPFLVQ) was proposed based on unsupervised possibilistic fuzzy clustering (UPFC). UPFLVQ aimed to use ...

Automatic thoracic anatomy segmentation on CT images using hierarchical fuzzy models and registration.

Medical physics
PURPOSE: In an attempt to overcome several hurdles that exist in organ segmentation approaches, the authors previously described a general automatic anatomy recognition (AAR) methodology for segmenting all major organs in multiple body regions body-w...

Automated fluence map optimization based on fuzzy inference systems.

Medical physics
PURPOSE: The planning of an intensity modulated radiation therapy treatment requires the optimization of the fluence intensities. The fluence map optimization (FMO) is many times based on a nonlinear continuous programming problem, being necessary fo...

Video tracking for high-similarity drug tablets based on reflective lightness intensity and fuzzy recognition system.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Video tracking of drug tablet exerts important influences on the efficiency and reliability of its mass production; this topic also becomes a difficult and targeted focus for pharmaceutical production monitory in the past several years due to the hig...

Combined fuzzy logic and random walker algorithm for PET image tumor delineation.

Nuclear medicine communications
PURPOSE: The random walk (RW) technique serves as a powerful tool for PET tumor delineation, which typically involves significant noise and/or blurring. One challenging step is hard decision-making in pixel labeling. Fuzzy logic techniques have achie...