AIMC Topic: Fuzzy Logic

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Recognition of pigment network pattern in dermoscopy images based on fuzzy classification of pixels.

Computer methods and programs in biomedicine Oct 7, 2017
BACKGROUND AND OBJECTIVE: One of the most relevant dermoscopic patterns is the pigment network. An innovative method of pattern recognition is presented for its detection in dermoscopy images.
Dermoscopy Fuzzy Logic Pattern Recognition, Automated Pigments, Biological
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Learning ensemble classifiers for diabetic retinopathy assessment.

Artificial intelligence in medicine Oct 6, 2017
Diabetic retinopathy is one of the most common comorbidities of diabetes. Unfortunately, the recommended annual screening of the eye fundus of diabetic patients is too resource-consuming. Therefore, it is necessary to develop tools that may help doct...
Humans Diabetic Retinopathy Diabetes Mellitus, Type 1 Risk Assessment Machine Learning Time Factors Fuzzy Logic Decision Support Techniques Decision Support Systems, Clinical Decision Trees Prognosis Diabetes Mellitus, Type 2 Predictive Value of Tests Electronic Health Records Clinical Decision-Making Reproducibility of Results Risk Factors
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Fuzzy-Rough Cognitive Networks.

Neural networks : the official journal of the International Neural Network Society Sep 28, 2017
Rough Cognitive Networks (RCNs) are a kind of granular neural network that augments the reasoning rule present in Fuzzy Cognitive Maps with crisp information granules coming from Rough Set Theory. While RCNs have shown promise in solving different cl...
Fuzzy Logic Decision Trees Bayes Theorem Benchmarking Pattern Recognition, Automated Problem Solving Discrimination, Psychological Algorithms Computer Simulation Cognition Models, Theoretical Neural Networks, Computer
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Delineation of the ischemic stroke lesion based on watershed and relative fuzzy connectedness in brain MRI.

Medical & biological engineering & computing Sep 26, 2017
Precise segmentation of stroke lesions from brain magnetic resonance (MR) images poses a challenging task in automated diagnosis. In this paper, we proposed a new method called watershed-based lesion segmentation algorithm (WLSA), which is a novel in...
Stroke Brain Ischemia Image Interpretation, Computer-Assisted ROC Curve Magnetic Resonance Imaging Fuzzy Logic Humans Algorithms Reproducibility of Results Brain Male Female Middle Aged Time Factors
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Using fuzzy logic to determine the vulnerability of marine species to climate change.

Global change biology Sep 26, 2017
Marine species are being impacted by climate change and ocean acidification, although their level of vulnerability varies due to differences in species' sensitivity, adaptive capacity and exposure to climate hazards. Due to limited data on the biolog...
Animals Climate Change Species Specificity Fisheries Invertebrates Fuzzy Logic Models, Biological Hydrogen-Ion Concentration Biodiversity
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Impact of pixel-based machine-learning techniques on automated frameworks for delineation of gross tumor volume regions for stereotactic body radiation therapy.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Sep 23, 2017
The aim of this study was to investigate the impact of pixel-based machine learning (ML) techniques, i.e., fuzzy-c-means clustering method (FCM), and the artificial neural network (ANN) and support vector machine (SVM), on an automated framework for ...
Fluorodeoxyglucose F18 Radiosurgery Aged, 80 and over Male Lung Radiopharmaceuticals Time Factors Radiotherapy Planning, Computer-Assisted Imaging, Three-Dimensional Humans Female Tumor Burden Lung Neoplasms Reproducibility of Results Neural Networks, Computer Pattern Recognition, Automated Fuzzy Logic Aged Machine Learning Positron Emission Tomography Computed Tomography
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Acquaintance to Artificial Neural Networks and use of artificial intelligence as a diagnostic tool for tuberculosis: A review.

Tuberculosis (Edinburgh, Scotland) Sep 20, 2017
Tuberculosis [TB] has afflicted numerous nations in the world. As per a report by the World Health Organization [WHO], an estimated 1.4 million TB deaths in 2015 and an additional 0.4 million deaths resulting from TB disease among people living with ...
Predictive Value of Tests Biomarkers Host-Pathogen Interactions Humans Tuberculosis Reproducibility of Results Neural Networks, Computer Mycobacterium tuberculosis Diagnosis, Computer-Assisted Decision Support Techniques Early Diagnosis Fuzzy Logic
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Expert system application for prioritizing preventive actions for shift work: shift expert.

International journal of occupational safety and ergonomics : JOSE Sep 19, 2017
INTRODUCTION: Shift patterns, work hours, work arrangements and worker motivations have increasingly become key factors for job performance. The main objective of this article is to design an expert system that identifies the negative effects of shif...
Female Aged Adult Male Humans Fatigue Turkey Sleep Disorders, Circadian Rhythm Occupational Health Work Schedule Tolerance Middle Aged Sleep Surveys and Questionnaires Expert Systems Fuzzy Logic
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A new type of neurons for machine learning.

International journal for numerical methods in biomedical engineering Sep 15, 2017
In machine learning, an artificial neural network is the mainstream approach. Such a network consists of many neurons. These neurons are of the same type characterized by the 2 features: (1) an inner product of an input vector and a matching weightin...
Humans Neural Networks, Computer Machine Learning Fuzzy Logic Blood Pressure Oxygen Consumption
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Unsupervised Segmentation of 5D Hyperpolarized Carbon-13 MRI Data Using a Fuzzy Markov Random Field Model.

IEEE transactions on medical imaging Sep 4, 2017
Hyperpolarized MRI with C-labelled compounds is an emerging clinical technique allowing in vivo metabolic processes to be characterized non-invasively. Accurate quantification of C data, both for clinical and research purposes, typically relies on th...
Carbon Isotopes Markov Chains Image Interpretation, Computer-Assisted Neoplasms, Experimental Phantoms, Imaging Computer Simulation Animals Rats Contrast Media Magnetic Resonance Imaging Fuzzy Logic Models, Statistical Unsupervised Machine Learning Algorithms
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