AIMC Journal:
Computer methods and programs in biomedicine

Showing 481 to 490 of 844 articles

A new deep learning method for blood vessel segmentation in retinal images based on convolutional kernels and modified U-Net model.

Computer methods and programs in biomedicine Apr 8, 2021
BACKGROUND AND OBJECTIVE: Automatic monitoring of retinal blood vessels proves very useful for the clinical assessment of ocular vascular anomalies or retinopathies. This paper presents an efficient and accurate deep learning-based method for vessel ...
Retinal Vessels Image Processing, Computer-Assisted Fundus Oculi Neural Networks, Computer Algorithms Deep Learning
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Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images.

Computer methods and programs in biomedicine Apr 3, 2021
BACKGROUND AND OBJECTIVE: The purpose of the present study was to investigate low-shot deep learning models applied to conjunctival melanoma detection using a small dataset with ocular surface images.
Humans Skin Neoplasms Deep Learning Nevus, Pigmented Neural Networks, Computer Melanoma
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A deep learning based surrogate model for the parameter identification problem in probabilistic cellular automaton epidemic models.

Computer methods and programs in biomedicine Apr 1, 2021
BACKGROUND AND OBJECTIVE: an accurate estimation of the epidemiological model coefficients helps understand the basic principles of disease spreading. Some studies showed that dozens of hours are needed to simulate the traditional probabilistic cellu...
Humans Epidemics Models, Statistical Basic Reproduction Number Computer Simulation Deep Learning
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Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network.

Computer methods and programs in biomedicine Mar 21, 2021
BACKGROUND AND OBJECTIVE: Segmentation of the left ventricular (LV) myocardium (Myo) and RV endocardium on cine cardiac magnetic resonance (CMR) images represents an essential step for cardiac-function evaluation and diagnosis. In order to have a com...
Italy Heart Ventricles Humans Retrospective Studies Neural Networks, Computer Magnetic Resonance Imaging, Cine Magnetic Resonance Imaging
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Development of a deep learning-based image quality control system to detect and filter out ineligible slit-lamp images: A multicenter study.

Computer methods and programs in biomedicine Mar 17, 2021
BACKGROUND AND OBJECTIVE: Previous studies developed artificial intelligence (AI) diagnostic systems only using eligible slit-lamp images for detecting corneal diseases. However, images of ineligible quality (including poor-field, defocused, and poor...
Algorithms Deep Learning Quality Control Slit Lamp Humans Artificial Intelligence
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Detecting cerebral microbleeds via deep learning with features enhancement by reusing ground truth.

Computer methods and programs in biomedicine Mar 12, 2021
BACKGROUND AND OBJECTIVES: Cerebral microbleeds (CMBs) are cerebral small vascular diseases and are often used to diagnose symptoms such as stroke and dementia. Manual detection of cerebral microbleeds is a time-consuming and error-prone task, so the...
Humans Deep Learning Cerebral Hemorrhage Algorithms Magnetic Resonance Imaging Neuroimaging
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Deep learning-based tumor microenvironment analysis in colon adenocarcinoma histopathological whole-slide images.

Computer methods and programs in biomedicine Mar 12, 2021
BACKGROUND AND OBJECTIVE: Colon cancer is a fatal disease, and a comprehensive understanding of the tumor microenvironment (TME) could lead to better risk stratification, prognosis prediction, and therapy management. In this paper, we focused on the ...
Adenocarcinoma Colonic Neoplasms Tumor Microenvironment Deep Learning Humans
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Genetic-fuzzy logic model for a non-invasive measurement of a stroke volume.

Computer methods and programs in biomedicine Mar 12, 2021
BACKGROUND: Despite the importance of stroke volume readings in understanding the work of the cardiovascular system in patients, its routine daily measurement outside of a hospital in the absence of special equipment presents a problem for a comprehe...
Blood Pressure Heart Rate Middle Aged Hemodynamics Adolescent Fuzzy Logic Male Stroke Volume Young Adult Adult Humans Female
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Deep learning based neuronal soma detection and counting for Alzheimer's disease analysis.

Computer methods and programs in biomedicine Mar 10, 2021
BACKGROUND AND OBJECTIVE: Alzheimer's Disease (AD) is associated with neuronal damage and decrease. Micro-Optical Sectioning Tomography (MOST) provides an approach to acquire high-resolution images for neuron analysis in the whole-brain. Application ...
Mice Animals Neurons Deep Learning Alzheimer Disease Neural Networks, Computer Brain
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Alzheimer's disease detection using depthwise separable convolutional neural networks.

Computer methods and programs in biomedicine Mar 2, 2021
To diagnose Alzheimer's disease (AD), neuroimaging methods such as magnetic resonance imaging have been employed. Recent progress in computer vision with deep learning (DL) has further inspired research focused on machine learning algorithms. However...
Humans Neural Networks, Computer Alzheimer Disease Neuroimaging Algorithms Deep Learning
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