AI Medical Compendium Journal:
Biomedical physics & engineering express

Showing 51 to 60 of 142 articles

Comparison review of image classification techniques for early diagnosis of diabetic retinopathy.

Biomedical physics & engineering express Sep 5, 2024
Diabetic retinopathy (DR) is one of the leading causes of vision loss in adults and is one of the detrimental side effects of the mass prevalence of Diabetes Mellitus (DM). It is crucial to have an efficient screening method for early diagnosis of DR...
Diabetic Retinopathy Neural Networks, Computer Machine Learning Humans Support Vector Machine Decision Trees Algorithms Image Interpretation, Computer-Assisted Deep Learning Early Diagnosis Image Processing, Computer-Assisted
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Fuzzy lattices assisted EJAYA Q-learning for automated pulmonary diseases classification.

Biomedical physics & engineering express Sep 3, 2024
This work proposes a novel technique called Enhanced JAYA (EJAYA) assisted Q-Learning for the classification of pulmonary diseases, such as pneumonia and tuberculosis (TB) sub-classes using chest x-ray images. The work introduces Fuzzy lattices forma...
Lung Diseases Tuberculosis Machine Learning Algorithms Reproducibility of Results Fuzzy Logic Humans Pneumonia Sensitivity and Specificity Image Processing, Computer-Assisted
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Deep learning with uncertainty estimation for automatic tumor segmentation in PET/CT of head and neck cancers: impact of model complexity, image processing and augmentation.

Biomedical physics & engineering express Aug 30, 2024
Target volumes for radiotherapy are usually contoured manually, which can be time-consuming and prone to inter- and intra-observer variability. Automatic contouring by convolutional neural networks (CNN) can be fast and consistent but may produce unr...
Fluorodeoxyglucose F18 Uncertainty Image Processing, Computer-Assisted Head and Neck Neoplasms Positron Emission Tomography Computed Tomography Humans Retrospective Studies Deep Learning Neural Networks, Computer Algorithms
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Classification of optic neuritis in neuromyelitis optica spectrum disorders (NMOSD) on MRI using CNN with transfer learning and manipulation of pre-processing on augmentation.

Biomedical physics & engineering express Aug 27, 2024
Neuromyelitis optica spectrum disorder (NMOSD), also known as Devic disease, is an autoimmune central nervous system disorder in humans that commonly causes inflammatory demyelination in the optic nerves and spinal cord. Inflammation in the optic ner...
Middle Aged Deep Learning Image Processing, Computer-Assisted Optic Neuritis Neuromyelitis Optica Magnetic Resonance Imaging Female Humans Optic Nerve Adult Neural Networks, Computer Male
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RobMedNAS: searching robust neural network architectures for medical image synthesis.

Biomedical physics & engineering express Aug 23, 2024
Investigating U-Net model robustness in medical image synthesis against adversarial perturbations, this study introduces RobMedNAS, a neural architecture search strategy for identifying resilient U-Net configurations. Through retrospective analysis o...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Retrospective Studies Tomography, X-Ray Computed Humans Neural Networks, Computer Algorithms
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An end-to-end deep learning pipeline to derive blood input with partial volume corrections for automated parametric brain PET mapping.

Biomedical physics & engineering express Aug 19, 2024
Dynamic 2-[18F] fluoro-2-deoxy-D-glucose positron emission tomography (dFDG-PET) for human brain imaging has considerable clinical potential, yet its utilization remains limited. A key challenge in the quantitative analysis of dFDG-PET is characteriz...
Humans Female Male Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Brain Fluorodeoxyglucose F18 Carotid Artery, Internal Brain Mapping Radiopharmaceuticals Positron-Emission Tomography
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A hybrid model for the detection of retinal disorders using artificial intelligence techniques.

Biomedical physics & engineering express Jul 10, 2024
The prevalence of vision impairment is increasing at an alarming rate. The goal of the study was to create an automated method that uses optical coherence tomography (OCT) to classify retinal disorders into four categories: choroidal neovascularizati...
Deep Learning Support Vector Machine Decision Trees Macular Edema Retinal Diseases Tomography, Optical Coherence Retina Artificial Intelligence Machine Learning Algorithms Humans Diabetic Retinopathy Neural Networks, Computer Choroidal Neovascularization
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Explainable AI based automated segmentation and multi-stage classification of gastroesophageal reflux using machine learning techniques.

Biomedical physics & engineering express Jun 28, 2024
Presently, close to two million patients globally succumb to gastrointestinal reflux diseases (GERD). Video endoscopy represents cutting-edge technology in medical imaging, facilitating the diagnosis of various gastrointestinal ailments including sto...
Support Vector Machine Algorithms Humans Gastroesophageal Reflux Image Interpretation, Computer-Assisted Deep Learning Automation Neural Networks, Computer Image Processing, Computer-Assisted Machine Learning
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Binary classification of dead detector elements in flat panel detectors using convolutional neural networks.

Biomedical physics & engineering express Jun 25, 2024
Medical physicists routinely perform quality assurance on digital detection systems, part of which involves the testing of flat panel detectors. Flat panels may degrade over time as an increasing number of individual detector elements begin to malfun...
Signal-To-Noise Ratio Algorithms Image Processing, Computer-Assisted Humans Equipment Design Neural Networks, Computer
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An extensive analysis of artificial intelligence and segmentation methods transforming cancer recognition in medical imaging.

Biomedical physics & engineering express Jun 18, 2024
Recent advancements in computational intelligence, deep learning, and computer-aided detection have had a significant impact on the field of medical imaging. The task of image segmentation, which involves accurately interpreting and identifying the c...
Humans Diagnosis, Computer-Assisted Neural Networks, Computer Image Processing, Computer-Assisted Artificial Intelligence Deep Learning Diagnostic Imaging Algorithms Neoplasms
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