AIMC Journal:
Computer methods and programs in biomedicine

Showing 231 to 240 of 844 articles

CaMeL-Net: Centroid-aware metric learning for efficient multi-class cancer classification in pathology images.

Computer methods and programs in biomedicine Aug 9, 2023
BACKGROUND AND OBJECTIVE: Cancer grading in pathology image analysis is a major task due to its importance in patient care, treatment, and management. The recent developments in artificial neural networks for computational pathology have demonstrated...
Camelus Image Processing, Computer-Assisted Neural Networks, Computer Animals Neoplasms Deep Learning
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Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction.

Computer methods and programs in biomedicine Aug 5, 2023
BACKGROUND AND OBJECTIVE: Exposure to solar ultraviolet (UV) radiation can cause malignant keratinocyte cancer and eye disease. Developing a user-friendly, portable, real-time solar UV alert system especially or wearable electronic mobile devices can...
Neural Networks, Computer Bayes Theorem Solar Energy Artificial Intelligence Australia
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A novel CS-NET architecture based on the unification of CNN, SVM and super-resolution spectrogram to monitor and classify blood pressure using photoplethysmography.

Computer methods and programs in biomedicine Jul 16, 2023
CONTEXT: Continuous blood pressure (BP) monitoring plays an important role while treating various cardiovascular diseases and hypertension. A high correlation between arterial blood pressure (ABP) and Photoplethysmogram (PPG) signal enables using a P...
Humans Support Vector Machine Blood Pressure Photoplethysmography Neural Networks, Computer Blood Pressure Determination
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Multi-institutional PET/CT image segmentation using federated deep transformer learning.

Computer methods and programs in biomedicine Jul 12, 2023
BACKGROUND AND OBJECTIVE: Generalizable and trustworthy deep learning models for PET/CT image segmentation necessitates large diverse multi-institutional datasets. However, legal, ethical, and patient privacy issues challenge sharing of datasets betw...
Positron Emission Tomography Computed Tomography Deep Learning Image Processing, Computer-Assisted Neoplasms Humans Algorithms
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Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression.

Computer methods and programs in biomedicine Jul 10, 2023
BACKGROUND AND OBJECTIVE: Prostate cancer is one of the most prevalent forms of cancer in men worldwide. Traditional screening strategies such as serum PSA levels, which are not necessarily cancer-specific, or digital rectal exams, which are often in...
Artificial Intelligence Sensitivity and Specificity Humans Gene Expression Prostatic Neoplasms Male
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Deep learning model to predict exercise stress test results: Optimizing the diagnostic test selection strategy and reduce wastage in suspected coronary artery disease patients.

Computer methods and programs in biomedicine Jul 9, 2023
BACKGROUND: Cardiac exercise stress testing (EST) offers a non-invasive way in the management of patients with suspected coronary artery disease (CAD). However, up to 30% EST results are either inconclusive or non-diagnostic, which results in signifi...
Exercise Test Coronary Artery Disease Coronary Angiography Diagnostic Tests, Routine Humans Middle Aged Deep Learning
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ProGleason-GAN: Conditional progressive growing GAN for prostatic cancer Gleason grade patch synthesis.

Computer methods and programs in biomedicine Jun 25, 2023
BACKGROUND AND OBJECTIVE: Prostate cancer is one of the most common diseases affecting men. The main diagnostic and prognostic reference tool is the Gleason scoring system. An expert pathologist assigns a Gleason grade to a sample of prostate tissue....
Prostatectomy Artificial Intelligence Prognosis Humans Prostatic Neoplasms Male Neoplasm Grading
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Development of a model for the prediction of biological age.

Computer methods and programs in biomedicine Jun 24, 2023
BACKGROUND AND OBJECTIVE: Rates of aging vary markedly among individuals, and biological age serves as a more reliable predictor of current health status than does chronological age. As such, the ability to predict biological age can support appropri...
Aging Machine Learning DNA Methylation Humans Adolescent Bayes Theorem Algorithms
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Increasing-Margin Adversarial (IMA) training to improve adversarial robustness of neural networks.

Computer methods and programs in biomedicine Jun 24, 2023
BACKGROUND AND OBJECTIVE: Deep neural networks (DNNs) are vulnerable to adversarial noises. Adversarial training is a general and effective strategy to improve DNN robustness (i.e., accuracy on noisy data) against adversarial noises. However, DNN mod...
Neural Networks, Computer Image Processing, Computer-Assisted
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EEG-based classification of individuals with neuropsychiatric disorders using deep neural networks: A systematic review of current status and future directions.

Computer methods and programs in biomedicine Jun 20, 2023
The use of deep neural networks for electroencephalogram (EEG) classification has rapidly progressed and gained popularity in recent years, but automatic feature extraction from EEG signals remains a challenging task. The classification of neuropsych...
Neural Networks, Computer Humans Electroencephalography Algorithms
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