AIMC Journal:
Computer methods and programs in biomedicine

Showing 361 to 370 of 844 articles

Predicting exclusive breastfeeding in maternity wards using machine learning techniques.

Computer methods and programs in biomedicine Apr 26, 2022
BACKGROUND AND OBJECTIVE: Adequate support in maternity wards is decisive for breastfeeding outcomes during the first year of life. Quality improvement interventions require the identification of the factors influencing hospital benchmark indicators....
Mothers Health Promotion Breast Feeding Hospitals Pregnancy Female Infant, Newborn Infant Artificial Intelligence Machine Learning Humans
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Study on transfer learning capabilities for pneumonia classification in chest-x-rays images.

Computer methods and programs in biomedicine Apr 22, 2022
BACKGROUND: over the last year, the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and its variants have highlighted the importance of screening tools with high diagnostic accuracy for new illnesses such as COVID-19. In that regard, dee...
Pneumonia X-Rays Deep Learning Humans COVID-19 SARS-CoV-2
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Deep learning-based automatic segmentation of images in cardiac radiography: A promising challenge.

Computer methods and programs in biomedicine Apr 19, 2022
BACKGROUND: Due to the advancement of medical imaging and computer technology, machine intelligence to analyze clinical image data increases the probability of disease prevention and successful treatment. When diagnosing and detecting heart disease, ...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Deep Learning Heart Diseases Radiography
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ClinicaDL: An open-source deep learning software for reproducible neuroimaging processing.

Computer methods and programs in biomedicine Apr 19, 2022
BACKGROUND AND OBJECTIVE: As deep learning faces a reproducibility crisis and studies on deep learning applied to neuroimaging are contaminated by methodological flaws, there is an urgent need to provide a safe environment for deep learning users to ...
Reproducibility of Results Software Image Processing, Computer-Assisted Deep Learning Neuroimaging
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Explainability of radiomics through formal methods.

Computer methods and programs in biomedicine Apr 19, 2022
BACKGROUND AND OBJECTIVE: Artificial Intelligence has proven to be effective in radiomics. The main problem in using Artificial Intelligence is that researchers and practitioners are not able to know how the predictions are generated. This is current...
Tomography, X-Ray Computed Radiology Humans Artificial Intelligence
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FM-Net: Deep Learning Network for the Fundamental Matrix Estimation from Biplanar Radiographs.

Computer methods and programs in biomedicine Apr 6, 2022
BACKGROUND AND OBJECTIVE: The fundamental matrix estimation is a classic problem in computer vision. The traditional algorithms require high-precision correspondences. However, correspondences in biplanar radiographs are difficult to match accurately...
Image Processing, Computer-Assisted Radiography Algorithms Deep Learning
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Deep learning for locally advanced nasopharyngeal carcinoma prognostication based on pre- and post-treatment MRI.

Computer methods and programs in biomedicine Mar 31, 2022
PURPOSE: We aimed to predict the prognosis of advanced nasopharyngeal carcinoma (stage Ⅲ-Ⅳa) using Pre- and Post-treatment MR images based on deep learning (DL).
Nasopharyngeal Carcinoma Humans Retrospective Studies Nasopharyngeal Neoplasms Magnetic Resonance Imaging Deep Learning
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Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection.

Computer methods and programs in biomedicine Mar 30, 2022
BACKGROUND AND OBJECTIVE: Intracranial hemorrhage (ICH) is a life-threatening emergency that can lead to brain damage or death, with high rates of mortality and morbidity. The fast and accurate detection of ICH is important for the patient to get an ...
Normal Distribution Tomography, X-Ray Computed Intracranial Hemorrhages Head Humans Neural Networks, Computer
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Diffeomorphic transforms for data augmentation of highly variable shape and texture objects.

Computer methods and programs in biomedicine Mar 25, 2022
BACKGROUND AND OBJECTIVE: Training a deep convolutional neural network (CNN) for automatic image classification requires a large database with images of labeled samples. However, in some applications such as biology and medicine only a few experts ca...
Data Management Humans Neural Networks, Computer Databases, Factual
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An automated process for supporting decisions in clustering-based data analysis.

Computer methods and programs in biomedicine Mar 24, 2022
BACKGROUND AND OBJECTIVE: Metrics are commonly used by biomedical researchers and practitioners to measure and evaluate properties of individuals, instruments, models, methods, or datasets. Due to the lack of a standardized validation procedure for a...
Data Analysis Reproducibility of Results Cluster Analysis Benchmarking Humans Biological Ontologies
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