AIMC Journal:
Medical & biological engineering & computing

Showing 191 to 200 of 330 articles

A deep learning-based approach to automatic proximal femur segmentation in quantitative CT images.

Medical & biological engineering & computing Mar 24, 2022
Automatic CT segmentation of proximal femur has a great potential for use in orthopedic diseases, especially in the imaging-based assessments of hip fracture risk. In this study, we proposed an approach based on deep learning for the fast and automat...
Image Processing, Computer-Assisted Deep Learning Cancellous Bone Femur Neural Networks, Computer Tomography, X-Ray Computed
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Low-precision feature selection on microarray data: an information theoretic approach.

Medical & biological engineering & computing Mar 22, 2022
The number of interconnected devices, such as personal wearables, cars, and smart-homes, surrounding us every day has recently increased. The Internet of Things devices monitor many processes, and have the capacity of using machine learning models fo...
Microarray Analysis Algorithms Information Storage and Retrieval Machine Learning
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Predicting residues involved in anti-DNA autoantibodies with limited neural networks.

Medical & biological engineering & computing Mar 18, 2022
Computer-aided rational vaccine design (RVD) and synthetic pharmacology are rapidly developing fields that leverage existing datasets for developing compounds of interest. Computational proteomics utilizes algorithms and models to probe proteins for ...
Autoantibodies Binding Sites DNA Neural Networks, Computer Proteins Algorithms
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DCNN-based prediction model for detection of age-related macular degeneration from color fundus images.

Medical & biological engineering & computing Mar 10, 2022
Age-related macular degeneration (AMD) is a degenerative disorder in the macular region of the eye. AMD is the leading cause of irreversible vision loss in the elderly population. With the increase in aged population in the world, there is an urgent ...
Fundus Oculi Macular Degeneration Aged Humans Algorithms Neural Networks, Computer
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Convolutional neural network-based automatic classification for incomplete antibody reaction intensity in solid phase anti-human globulin test image.

Medical & biological engineering & computing Mar 7, 2022
The precise classification of incomplete antibody reaction intensity (IARI) in hydrogel chromatography medium high density medium solid-phase Coombs test is essential for haemolytic disease screening. However, an automatic and contactless method is r...
Automation Globulins Image Processing, Computer-Assisted Neural Networks, Computer Coombs Test
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Recurrent neural network to predict hyperelastic constitutive behaviors of the skeletal muscle.

Medical & biological engineering & computing Mar 4, 2022
Hyperelastic constitutive laws have been commonly used to model the passive behavior of the human skeletal muscle. Despite many efforts, the use of accurate finite element formulations of hyperelastic constitutive laws is still time-consuming for a r...
Finite Element Analysis Computer Simulation Databases, Factual Stress, Mechanical Muscle, Skeletal Humans Neural Networks, Computer
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A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica.

Medical & biological engineering & computing Mar 3, 2022
The implementation of deep learning-based computer-aided diagnosis systems for the classification of mammogram images can help in improving the accuracy, reliability, and cost of diagnosing patients. However, training a deep learning model requires a...
Humans Reproducibility of Results Supervised Machine Learning Costa Rica Mammography Diagnosis, Computer-Assisted
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The adoption of deep learning interpretability techniques on diabetic retinopathy analysis: a review.

Medical & biological engineering & computing Jan 27, 2022
Diabetic retinopathy (DR) is a chronic eye condition that is rapidly growing due to the prevalence of diabetes. There are challenges such as the dearth of ophthalmologists, healthcare resources, and facilities that are unable to provide patients with...
Diabetes Mellitus Diabetic Retinopathy Deep Learning Humans
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Glaucoma disease diagnosis with an artificial algae-based deep learning algorithm.

Medical & biological engineering & computing Jan 26, 2022
Glaucoma disease is optic neuropathy; in glaucoma, the optic nerve is damaged because the long duration of intraocular pressure can be caused blindness. Nowadays, deep learning classification algorithms are widely used to diagnose various diseases. H...
Intraocular Pressure Deep Learning Algorithms Glaucoma Humans
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Colon tissue image segmentation with MWSI-NET.

Medical & biological engineering & computing Jan 19, 2022
Developments in deep learning have resulted in computer-aided diagnosis for many types of cancer. Previously, pathologists manually performed the labeling work in the analysis of colon tissues, which is both time-consuming and labor-intensive. Result...
Semantics Colon Image Processing, Computer-Assisted Algorithms Neural Networks, Computer
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