AIMC Journal:
Computer methods and programs in biomedicine

Showing 621 to 630 of 863 articles

Two-step deep neural network for segmentation of deep white matter hyperintensities in migraineurs.

Computer methods and programs in biomedicine Sep 5, 2019
BACKGROUND AND OBJECTIVE: Patients with migraine show an increased presence of white matter hyperintensities (WMHs), especially deep WMHs. Segmentation of small, deep WMHs is a critical issue in managing migraine care. Here, we aim to develop a novel...
Humans Neural Networks, Computer Adult Male Middle Aged Algorithms Brain Female Artifacts Pattern Recognition, Automated False Positive Reactions White Matter Magnetic Resonance Imaging Migraine Disorders Motion Deep Learning Image Processing, Computer-Assisted
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Estimation of wave reflection in aorta from radial pulse waveform by artificial neural network: a numerical study.

Computer methods and programs in biomedicine Sep 3, 2019
BACKGROUND AND OBJECTIVE: Wave reflection in aorta has been shown to have incremental value for predicting cardiovascular events. However, its estimation by wave separation analysis (WSA) is complex.
Aorta Humans Neural Networks, Computer Blood Pressure Determination Pulse Wave Analysis
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Development of an automatic muscle atrophy measuring algorithm to calculate the ratio of supraspinatus in supraspinous fossa using deep learning.

Computer methods and programs in biomedicine Sep 3, 2019
BACKGROUND AND OBJECTIVE: Rotator cuff muscle tear is one of the most frequent reason of operations in orthopedic surgery. There are several clinical indicators such as Goutallier grade and occupation ratio in the diagnosis and surgery of these disea...
Humans Algorithms Automation Muscular Atrophy Rotator Cuff Deep Learning Magnetic Resonance Imaging Muscle, Skeletal
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Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records.

Computer methods and programs in biomedicine Aug 27, 2019
OBJECTIVE: Diabetes is responsible for considerable morbidity, healthcare utilisation and mortality in both developed and developing countries. Currently, methods of treating diabetes are inadequate and costly so prevention becomes an important step ...
Diabetes Mellitus, Type 2 Machine Learning Humans Electronic Health Records Deep Learning
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Saliency-driven system models for cell analysis with deep learning.

Computer methods and programs in biomedicine Aug 26, 2019
BACKGROUND AND OBJECTIVES: Saliency refers to the visual perception quality that makes objects in a scene to stand out from others and attract attention. While computational saliency models can simulate the expert's visual attention, there is little ...
Female Cervix Uteri Humans Deep Learning Neural Networks, Computer Papanicolaou Test
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Automatic diagnosis of fungal keratitis using data augmentation and image fusion with deep convolutional neural network.

Computer methods and programs in biomedicine Aug 9, 2019
BACKGROUND AND OBJECTIVES: Fungal keratitis is caused by inflammation of the cornea that results from infection by fungal organisms. The lack of an early effective diagnosis often results in serious complications even blindness. Confocal microscopy i...
False Positive Reactions Microscopy, Confocal Mycoses Pattern Recognition, Automated Deep Learning Image Processing, Computer-Assisted Algorithms Humans Databases, Factual Cornea Neural Networks, Computer Reproducibility of Results Keratitis Diagnosis, Computer-Assisted
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Recognition of peripheral blood cell images using convolutional neural networks.

Computer methods and programs in biomedicine Aug 9, 2019
BACKGROUND AND OBJECTIVES: Morphological analysis is the starting point for the diagnostic approach of more than 80% of hematological diseases. However, the morphological differentiation among different types of normal and abnormal peripheral blood c...
Humans Neural Networks, Computer Deep Learning Blood Cells Image Processing, Computer-Assisted Pattern Recognition, Automated
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Combining a gravitational search algorithm, particle swarm optimization, and fuzzy rules to improve the classification performance of a feed-forward neural network.

Computer methods and programs in biomedicine Aug 8, 2019
BACKGROUND AND OBJECTIVE: A feed-forward neural network (FNN) is a type of artificial neural network that has been widely used in medical diagnosis, data mining, stock market analysis, and other fields. Many studies have used FNN to develop medical d...
Data Mining Mesothelioma Mesothelioma, Malignant Lung Neoplasms Renal Insufficiency, Chronic Fuzzy Logic Algorithms Diagnostic Errors Humans Neural Networks, Computer Machine Learning
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Automatic cataract grading methods based on deep learning.

Computer methods and programs in biomedicine Aug 5, 2019
BACKGROUND AND OBJECTIVE: The shortage of ophthalmologists in rural areas in China causes a lot of cataract patients not getting timely diagnosis and effective treatment. We develop an algorithm and platform to automatically diagnose and grade catara...
Deep Learning Support Vector Machine Cataract Humans Fundus Oculi Image Interpretation, Computer-Assisted Automation
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Learning from adversarial medical images for X-ray breast mass segmentation.

Computer methods and programs in biomedicine Aug 5, 2019
BACKGROUND AND OBJECTIVE: Simulation of diverse lesions in images is proposed and applied to overcome the scarcity of labeled data, which has hindered the application of deep learning in medical imaging. However, most of current studies focus on gene...
X-Rays Image Processing, Computer-Assisted Mammography Humans Female Deep Learning China
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