AIMC Journal:
Computer methods and programs in biomedicine

Showing 461 to 470 of 844 articles

Universum based Lagrangian twin bounded support vector machine to classify EEG signals.

Computer methods and programs in biomedicine Jun 24, 2021
BACKGROUND AND OBJECTIVE: The detection of brain-related problems and neurological disorders like epilepsy, sleep disorder, and so on is done by using electroencephalogram (EEG) signals which contain noisy signals and outliers. Universum data contain...
Support Vector Machine Electroencephalography Epilepsy Seizures Humans
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Automated Data Quality Control in FDOPA brain PET Imaging using Deep Learning.

Computer methods and programs in biomedicine Jun 22, 2021
INTRODUCTION: With biomedical imaging research increasingly using large datasets, it becomes critical to find operator-free methods to quality control the data collected and the associated analysis. Attempts to use artificial intelligence (AI) to per...
Quality Control Positron Emission Tomography Computed Tomography Positron-Emission Tomography Deep Learning Artificial Intelligence Brain Humans
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TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning.

Computer methods and programs in biomedicine Jun 17, 2021
BACKGROUND AND OBJECTIVE: Processing of medical images such as MRI or CT presents different challenges compared to RGB images typically used in computer vision. These include a lack of labels for large datasets, high computational costs, and the need...
Reproducibility of Results Deep Learning Neural Networks, Computer Software Image Processing, Computer-Assisted Humans
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Machine learning for surgical time prediction.

Computer methods and programs in biomedicine Jun 11, 2021
BACKGROUND AND OBJECTIVE: Operating Rooms (ORs) are among the most expensive services in hospitals. A challenge to optimize the OR efficiency is to improve the surgery scheduling task, which requires the estimation of surgical time duration. Surgeons...
Support Vector Machine Operative Time Linear Models Machine Learning Algorithms Humans
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MHSU-Net: A more versatile neural network for medical image segmentation.

Computer methods and programs in biomedicine Jun 6, 2021
BACKGROUND AND OBJECTIVE: Medical image segmentation plays an important role in clinic. Recently, with the development of deep learning, many convolutional neural network (CNN)-based medical image segmentation algorithms have been proposed. Among the...
Neural Networks, Computer Algorithms Humans Image Processing, Computer-Assisted Lung Pancreas
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Deep learning for diagnosing osteonecrosis of the femoral head based on magnetic resonance imaging.

Computer methods and programs in biomedicine Jun 5, 2021
BACKGROUND AND OBJECTIVE: Early-stage osteonecrosis of the femoral head (ONFH) can be difficult to detect because of a lack of symptoms. Magnetic resonance imaging (MRI) is sufficiently sensitive to detect ONFH; however, the diagnosis of ONFH require...
Magnetic Resonance Imaging Femur Head Retrospective Studies Deep Learning Osteonecrosis Humans
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A high resolution representation network with multi-path scale for retinal vessel segmentation.

Computer methods and programs in biomedicine Jun 4, 2021
BACKGROUND AND OBJECTIVES: Automatic retinal vessel segmentation (RVS) in fundus images is expected to be a vital step in the early image diagnosis of ophthalmologic diseases. However, it is a challenging task to detect the retinal vessel accurately ...
Optic Disk Retinal Vessels Humans Neural Networks, Computer Image Processing, Computer-Assisted Fundus Oculi
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Automatic brain tumour diagnostic method based on a back propagation neural network and an extended set-membership filter.

Computer methods and programs in biomedicine Jun 2, 2021
BACKGROUND: Diagnosing brain tumours remains a challenging task in clinical practice. Despite their questionable accuracy, magnetic resonance image (MRI) scans are presently considered the optimal facility for assessing the growth of tumours. However...
Magnetic Resonance Imaging Neural Networks, Computer Brain Neoplasms Humans Brain Image Processing, Computer-Assisted
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Deep learning for tracing esophageal motility function over time.

Computer methods and programs in biomedicine Jun 1, 2021
BACKGROUND AND OBJECTIVE: Esophageal high-resolution manometry (HRM) is widely performed to evaluate the representation of manometric features in patients for diagnosing normal esophageal motility and motility disorders. Clinicians commonly assess es...
Humans Diagnosis, Computer-Assisted Manometry Deep Learning Esophageal Motility Disorders Deglutition
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Comparing stress prediction models using smartwatch physiological signals and participant self-reports.

Computer methods and programs in biomedicine May 30, 2021
Recent advances in wearable technology have facilitated the non-obtrusive monitoring of physiological signals, creating opportunities to monitor and predict stress. Researchers have utilized machine learning methods using these physiological signals ...
Logistic Models Machine Learning Humans Support Vector Machine Wearable Electronic Devices Self Report
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