AIMC Journal:
Computer methods and programs in biomedicine

Showing 291 to 300 of 844 articles

An efficient deep learning framework for P300 evoked related potential detection in EEG signal.

Computer methods and programs in biomedicine Dec 25, 2022
BACKGROUND: Incorporating the time-frequency localization properties of Gabor transform (GT), the complexity understandings of convolutional neural network (CNN), and histogram of oriented gradients (HOG) efficacy in distinguishing positive peaks can...
Algorithms Deep Learning Brain-Computer Interfaces Evoked Potentials Electroencephalography Neural Networks, Computer
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An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar.

Computer methods and programs in biomedicine Dec 20, 2022
BACKGROUND AND OBJECTIVES: Myocardial infarction scar (MIS) assessment by cardiac magnetic resonance provides prognostic information and guides patients' clinical management. However, MIS segmentation is time-consuming and not performed routinely. Th...
Cicatrix Myocardial Infarction Magnetic Resonance Spectroscopy Humans Contrast Media Deep Learning Gadolinium Magnetic Resonance Imaging
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Bone collision detection method for robot assisted fracture reduction based on vibration excitation.

Computer methods and programs in biomedicine Dec 17, 2022
BACKGROUND AND OBJECTIVE: In the process of robotic fracture reduction, there is a risk of unintended collision of broken bones, which is not conducive to ensuring the safety of the reduction system. In order to solve this problem, this paper propose...
Fracture Fixation Fractures, Bone Bone and Bones Vibration Robotics Humans
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KFWC: A Knowledge-Driven Deep Learning Model for Fine-grained Classification of Wet-AMD.

Computer methods and programs in biomedicine Dec 15, 2022
BACKGROUND AND OBJECTIVES: Automated diagnosis using deep neural networks can help ophthalmologists detect the blinding eye disease wet Age-related Macular Degeneration (AMD). Wet-AMD has two similar subtypes, Neovascular AMD and Polypoidal Choroidal...
Polypoidal Choroidal Vasculopathy Fundus Oculi Vascular Endothelial Growth Factor A Fluorescein Angiography Wet Macular Degeneration Visual Acuity Tomography, Optical Coherence Deep Learning Angiogenesis Inhibitors Humans
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Automatic generation of artificial images of leukocytes and leukemic cells using generative adversarial networks (syntheticcellgan).

Computer methods and programs in biomedicine Dec 15, 2022
BACKGROUND AND OBJECTIVES: Visual analysis of cell morphology has an important role in the diagnosis of hematological diseases. Morphological cell recognition is a challenge that requires experience and in-depth review by clinical pathologists. Withi...
Eosinophils Monocytes Lymphocytes Leukocytes Neural Networks, Computer Image Processing, Computer-Assisted
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A CNN-RNN unified framework for intrapartum cardiotocograph classification.

Computer methods and programs in biomedicine Dec 5, 2022
BACKGROUND AND OBJECTIVE: Prenatal fetal monitoring, which can monitor the growth and health of the fetus, is very vital for pregnant women before delivery. During pregnancy, it is crucial to judge whether the fetus is abnormal, which helps obstetric...
Neural Networks, Computer Pregnancy Humans Heart Rate, Fetal Fetal Monitoring Uterine Contraction Female Cardiotocography
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Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning.

Computer methods and programs in biomedicine Dec 1, 2022
BACKGROUND AND OBJECTIVES: Age-related macular degeneration (AMD) is a degenerative disorder affecting the macula, a key area of the retina for visual acuity. Nowadays, AMD is the most frequent cause of blindness in developed countries. Although some...
Humans Fundus Oculi Neural Networks, Computer Retina Deep Learning Macular Degeneration
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VGG-TSwinformer: Transformer-based deep learning model for early Alzheimer's disease prediction.

Computer methods and programs in biomedicine Nov 30, 2022
BACKGROUND AND OBJECTIVE: Mild cognitive impairment (MCI) is a transitional state between normal aging and Alzheimer's disease (AD), and accurately predicting the progression trend of MCI is critical to the early prevention and treatment of AD. Brain...
Deep Learning Humans Longitudinal Studies Alzheimer Disease Cognitive Dysfunction Cross-Sectional Studies Magnetic Resonance Imaging
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Human induced pluripotent stem cell formation and morphology prediction during reprogramming with time-lapse bright-field microscopy images using deep learning methods.

Computer methods and programs in biomedicine Nov 28, 2022
BACKGROUND AND OBJECTIVE: Human induced pluripotent stem cells (hiPSCs) represent an ideal source for patient specific cell-based regenerative medicine; however, efficiency of hiPSC formation from reprogramming cells is low. We use several deep-learn...
Microscopy Induced Pluripotent Stem Cells Deep Learning Humans Cell Differentiation Time-Lapse Imaging
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Automatic seizure detection by convolutional neural networks with computational complexity analysis.

Computer methods and programs in biomedicine Nov 25, 2022
BACKGROUND AND OBJECTIVES: Nowadays, an automated computer-aided diagnosis (CAD) is an approach that plays an important role in the detection of health issues. The main advantages should be in early diagnosis, including high accuracy and low computat...
Systems Analysis Seizures Signal Processing, Computer-Assisted Neural Networks, Computer Diagnosis, Computer-Assisted Humans Electroencephalography
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