AIMC Topic:
Fuzzy Logic

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NFR-EDL: Non-linear fuzzy rank-based ensemble deep learning for accurate diagnosis of oral and dental diseases using RGB color photography.

Computers in biology and medicine Jun 1, 2025
BACKGROUND: Oral health plays a vital role in our daily lives, affecting essential activities like eating, speaking, and smiling. Poor oral health can lead to significant social, psychological, and physical consequences, which makes early and accurat...
Stomatognathic Diseases Photography Mouth Diseases Deep Learning Image Processing, Computer-Assisted Fuzzy Logic Humans Neural Networks, Computer
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An Integrated Fuzzy Neural Network and Topological Data Analysis for Molecular Graph Representation Learning and Property Forecasting.

Molecular informatics Mar 1, 2025
Within a recent decade, graph neural network (GNN) has emerged as a powerful neural architecture for various graph-structured data modelling and task-driven representation learning problems. Recent studies have highlighted the remarkable capabilities...
Data Analysis Algorithms Fuzzy Logic Neural Networks, Computer Machine Learning
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[Application Status of Machine Learning in Assisted Diagnosis Techniques of Cardiovascular Diseases].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Jan 30, 2025
In recent years, cardiovascular disease has become a common disease. With the development of machine learning and big data technologies, the processing ability of electrocardiogram (ECG) signals has been greatly enhanced through new computer technolo...
Electrocardiography Fuzzy Logic Signal Processing, Computer-Assisted Electroencephalography Machine Learning Cardiovascular Diseases Diagnosis, Computer-Assisted Humans
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Computerized Decision Support System and Fuzzy Logic Rules for Early Diagnosis of Pesticide-Induced Diseases.

Critical reviews in biomedical engineering Jan 1, 2025
Many reflexologists employ outdated concepts that do not align with modern anatomy, physiology, and biophysics. Those concepts undermine physicians' confidence in their diagnosis. This study aims to improve the quality of medical care for workers in ...
Fuzzy Logic Early Diagnosis Pesticides Decision Support Systems, Clinical Occupational Exposure Humans
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A semi-supervised deep neuro-fuzzy iterative learning system for automatic segmentation of hippocampus brain MRI.

Mathematical biosciences and engineering : MBE Dec 11, 2024
The hippocampus is a small, yet intricate seahorse-shaped tiny structure located deep within the brain's medial temporal lobe. It is a crucial component of the limbic system, which is responsible for regulating emotions, memory, and spatial navigatio...
Algorithms Brain Deep Learning Humans Neural Networks, Computer Fuzzy Logic Supervised Machine Learning Hippocampus Image Processing, Computer-Assisted Magnetic Resonance Imaging False Positive Reactions
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Incremental modelling and analysis of biological systems with fuzzy hybrid Petri nets.

Briefings in bioinformatics Nov 22, 2024
Modelling biological systems depends on the availability of data and components of the system at hand. As our understanding of these systems evolves, the ability to gradually refine models by adding new components of different formalisms covering sto...
Fuzzy Logic Lipoproteins Models, Biological Hypercholesterolemia Cholesterol Humans Algorithms
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Sensor-Based Fuzzy Inference of COVID-19 Transmission Risk in Cruise Ships.

Studies in health technology and informatics Aug 22, 2024
Cruise ships are densely populated ecosystems where infectious diseases can spread rapidly. Hence, early detection of infected individuals and risk assessment (RA) of the disease transmissibility are critical. Recent studies have investigated the lon...
Risk Assessment Fuzzy Logic Ships Humans COVID-19 SARS-CoV-2 Pandemics
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Fuzzy-Label Weighted Deep Learning Classification for CT Image Quality Evaluation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This paper proposes a fuzzy-label weighted deep learning-based image classification approach for assessing computed tomography (CT) image quality. More specifically, we want to determine if a captured CT image passes Quality Assessment (QA) with a ce...
Deep Learning Image Processing, Computer-Assisted Fuzzy Logic Algorithms Tomography, X-Ray Computed Humans
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Complexity Analysis based on Parietal Fuzzy Entropy to Facilitate ADHD Diagnosis in Young Children.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Attention deficit hyperactivity disorder (ADHD) is the most common condition affecting the development of neurons in children. Therefore, early and accurate diagnosis of ADHD in young children is of paramount importance. In this study, the 8-channel ...
Humans Female Child, Preschool Child Male Attention Deficit Disorder with Hyperactivity Electroencephalography Signal Processing, Computer-Assisted Entropy Support Vector Machine Fuzzy Logic
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A novel lightweight deep learning approach for simultaneous optic cup and optic disc segmentation in glaucoma detection.

Mathematical biosciences and engineering : MBE Mar 4, 2024
Glaucoma is a chronic neurodegenerative disease that can result in irreversible vision loss if not treated in its early stages. The cup-to-disc ratio is a key criterion for glaucoma screening and diagnosis, and it is determined by dividing the area o...
Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Glaucoma Algorithms Image Interpretation, Computer-Assisted Optic Disk Fuzzy Logic Fundus Oculi Humans Neural Networks, Computer
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