AIMC Journal:
Computer methods and programs in biomedicine

Showing 221 to 230 of 844 articles

Understanding calibration of deep neural networks for medical image classification.

Computer methods and programs in biomedicine Sep 22, 2023
Background and Objective - In the field of medical image analysis, achieving high accuracy is not enough; ensuring well-calibrated predictions is also crucial. Confidence scores of a deep neural network play a pivotal role in explainability by provid...
Calibration Empirical Research Benchmarking Rotation Neural Networks, Computer
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Mortality prediction using medical time series on TBI patients.

Computer methods and programs in biomedicine Sep 21, 2023
BACKGROUND AND OBJECTIVE: Traumatic Brain Injury (TBI) is one of the leading causes of injury-related mortality in the world, with severe cases reaching mortality rates of 30-40%. It is highly heterogeneous both in causes and consequences making more...
Prognosis Brain Injuries, Traumatic Time Factors Humans Critical Care Artificial Intelligence
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Adaptive machine learning method for photoacoustic computed tomography based on sparse array sensor data.

Computer methods and programs in biomedicine Sep 21, 2023
BACKGROUND AND OBJECTIVE: Photoacoustic computed tomography (PACT) is a non-invasive biomedical imaging technology that has developed rapidly in recent decades, especially has shown potential for small animal studies and early diagnosis of human dise...
Artifacts Phantoms, Imaging Tomography, X-Ray Computed Image Processing, Computer-Assisted Machine Learning Algorithms Humans Neural Networks, Computer
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Forming We-intentions under breakdown situations in human-robot interactions.

Computer methods and programs in biomedicine Sep 20, 2023
BACKGROUND AND OBJECTIVE: When agents (e.g. a person and a social robot) perform a joint activity to achieve a joint goal, they require sharing a relevant group intention, which has been defined as a We-intention. In forming We-intentions, breakdown ...
Social Interaction Humans Female Middle Aged Robotics Motivation Social Behavior Intention Adult Male Aged Young Adult
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A deep sift convolutional neural networks for total brain volume estimation from 3D ultrasound images.

Computer methods and programs in biomedicine Sep 17, 2023
Preterm infants are a highly vulnerable population. The total brain volume (TBV) of these infants can be accurately estimated by brain ultrasound (US) imaging which enables a longitudinal study of early brain growth during Neonatal Intensive Care (NI...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Brain Infant, Newborn Longitudinal Studies Infant, Premature Humans Neural Networks, Computer
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Performance and limitations of a supervised deep learning approach for the histopathological Oxford Classification of glomeruli with IgA nephropathy.

Computer methods and programs in biomedicine Sep 13, 2023
BACKGROUND AND OBJECTIVE: The Oxford Classification for IgA nephropathy is the most successful example of an evidence-based nephropathology classification system. The aim of our study was to replicate the glomerular components of Oxford scoring with ...
Humans Deep Learning Kidney Glomerulonephritis, IGA Glomerular Filtration Rate Kidney Glomerulus
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Testing the performance, adequacy, and applicability of an artificial intelligence model for pediatric pneumonia diagnosis.

Computer methods and programs in biomedicine Sep 9, 2023
BACKGROUND: Community-acquired Pneumonia (CAP) is a common childhood infectious disease. Deep learning models show promise in X-ray interpretation and diagnosis, but their validation should be extended due to limitations in the current validation wor...
Neural Networks, Computer Artificial Intelligence Humans Pneumonia Bayes Theorem Lung Diseases Deep Learning Child
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Coupling synthetic and real-world data for a deep learning-based segmentation process of 4D flow MRI.

Computer methods and programs in biomedicine Sep 6, 2023
BACKGROUND AND OBJECTIVE: Phase contrast magnetic resonance imaging (4D flow MRI) is an imaging technique able to provide blood velocity in vivo and morphological information. This capability has been used to study mainly the hemodynamics of large ve...
Blood Flow Velocity Neural Networks, Computer Deep Learning Magnetic Resonance Imaging Humans Magnetic Resonance Angiography
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PIMedSeg: Progressive interactive medical image segmentation.

Computer methods and programs in biomedicine Aug 25, 2023
BACKGROUND AND OBJECTIVE: Accurate object segmentation in medical images is a crucial step in medical diagnosis and other applications. Despite years of research on automatic segmentation approaches, achieving clinically acceptable image quality rema...
Workflow Neural Networks, Computer Tomography, X-Ray Computed Electric Power Supplies
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Deep multi-task learning for nephropathy diagnosis on immunofluorescence images.

Computer methods and programs in biomedicine Aug 16, 2023
BACKGROUND AND OBJECTIVE: As an advanced technique, immunofluorescence (IF) is one of the most widely-used medical image for nephropathy diagnosis, due to its ease of acquisition with low cost. In practice, the clinically collected IF images are comm...
Humans Neural Networks, Computer Databases, Factual Fluorescent Antibody Technique
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