AIMC Topic: Convolutional Neural Networks

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Where, why, and how is bias learned in medical image analysis models? A study of bias encoding within convolutional networks using synthetic data.

EBioMedicine Dec 12, 2024
BACKGROUND: Understanding the mechanisms of algorithmic bias is highly challenging due to the complexity and uncertainty of how various unknown sources of bias impact deep learning models trained with medical images. This study aims to bridge this kn...
Diagnostic Imaging Bias Databases, Factual Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Convolutional Neural Networks Humans Algorithms
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Convolutional neural networks for automatic MR classification of myocardial iron overload in thalassemia major patients.

European radiology Dec 10, 2024
OBJECTIVES: To develop a deep-learning model for supervised classification of myocardial iron overload (MIO) from magnitude T2* multi-echo MR images.
Neural Networks, Computer Retrospective Studies Female Young Adult Adult Sensitivity and Specificity Humans beta-Thalassemia Iron Overload Image Interpretation, Computer-Assisted Adolescent Male Child Deep Learning Magnetic Resonance Imaging Convolutional Neural Networks
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Enhancing Generalizability in Biomedical Entity Recognition: Self-Attention PCA-CLS Model.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
One of the primary tasks in the early stages of data mining involves the identification of entities from biomedical corpora. Traditional approaches relying on robust feature engineering face challenges when learning from available (un-)annotated data...
Computational Biology Natural Language Processing Data Mining Biomedical Research Convolutional Neural Networks Datasets as Topic
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Automated Classification of Body MRI Sequences Using Convolutional Neural Networks.

Academic radiology Dec 6, 2024
RATIONALE AND OBJECTIVES: Multi-parametric MRI (mpMRI) studies of the body are routinely acquired in clinical practice. However, a standardized naming convention for MRI protocols and series does not exist currently. Conflicts in the series descripti...
Thorax Multiparametric Magnetic Resonance Imaging Magnetic Resonance Imaging Pelvis Image Interpretation, Computer-Assisted Pilot Projects Abdomen Humans Neural Networks, Computer Convolutional Neural Networks
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Securing healthcare medical image information using advance morphological component analysis, information hiding systems, and hybrid convolutional neural networks on IoMT.

Computers in biology and medicine Dec 5, 2024
Health care images contain a variety of imaging information that has specific features, which can make it challenging to assess and decide on the methods necessitated to safeguard the highly classified visuals from unauthorized exposure during transm...
Diagnostic Imaging Internet of Things Computer Security Humans Neural Networks, Computer Convolutional Neural Networks Image Processing, Computer-Assisted
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A review of convolutional neural network based methods for medical image classification.

Computers in biology and medicine Dec 3, 2024
This study systematically reviews CNN-based medical image classification methods. We surveyed 149 of the latest and most important papers published to date and conducted an in-depth analysis of the methods used therein. Based on the selected literatu...
Humans Image Processing, Computer-Assisted Diagnostic Imaging Image Interpretation, Computer-Assisted Neural Networks, Computer Deep Learning Convolutional Neural Networks
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Identification of structural stability and fragility of mouse liver glycogen via label-free Raman spectroscopy coupled with convolutional neural network algorithm.

International journal of biological macromolecules Dec 3, 2024
Glycogen structure is closely associated with its physiological functions. Previous studies confirmed that liver glycogen structure had two dominant states: mainly stable during the day and largely fragile at night. However, the diurnal change of gly...
Neural Networks, Computer Algorithms Glycogen Liver Glycogen Mice Animals Spectrum Analysis, Raman Convolutional Neural Networks Liver
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Intra- and inter-channel deep convolutional neural network with dynamic label smoothing for multichannel biosignal analysis.

Neural networks : the official journal of the International Neural Network Society Dec 2, 2024
Efficient processing of multichannel biosignals has significant application values in the fields of healthcare and human-machine interaction. Although previous research has achieved high recognition performance with deep convolutional neural networks...
Humans Neural Networks, Computer Machine Learning Signal Processing, Computer-Assisted Deep Learning Convolutional Neural Networks Electroencephalography
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Algal classification and Chlorophyll-a concentration determination using convolutional neural networks and three-dimensional fluorescence data matrices.

Environmental research Dec 2, 2024
In recent years, the frequency of harmful algal blooms has increased, leading to the release of large quantities of toxins and compounds that cause unpleasant odors and tastes, significantly compromising drinking water quality. Chlorophyll-a (Chl-a) ...
Chlorophyll A Chlorella Neural Networks, Computer Harmful Algal Bloom Fluorescence Microcystis Convolutional Neural Networks Chlorophyll Environmental Monitoring
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Estimating Ground Reaction Forces from Gait Kinematics in Cerebral Palsy: A Convolutional Neural Network Approach.

Annals of biomedical engineering Nov 30, 2024
PURPOSE: While gait analysis is essential for assessing neuromotor disorders like cerebral palsy (CP), capturing accurate ground reaction force (GRF) measurements during natural walking presents challenges, particularly due to variations in gait patt...
Male Female Convolutional Neural Networks Humans Adult Adolescent Child Neural Networks, Computer Biomechanical Phenomena Gait Cerebral Palsy
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