AIMC Topic: Convolutional Neural Networks

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An assessment of breast cancer HER2, ER, and PR expressions based on mammography using deep learning with convolutional neural networks.

Scientific reports Feb 9, 2025
Mammography is the recommended imaging modality for breast cancer screening. Expressions of human epidermal growth factor receptor 2 (HER2), estrogen receptor (ER), and progesterone receptor (PR) are critical to the development of therapeutic strateg...
Adult Breast Neoplasms Biomarkers, Tumor Middle Aged Deep Learning Convolutional Neural Networks Humans Neural Networks, Computer Female ROC Curve Receptors, Estrogen Mammography Receptors, Progesterone Receptor, ErbB-2
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DKCN-Net: Deep kronecker convolutional neural network-based lung disease detection with federated learning.

Computational biology and chemistry Feb 8, 2025
In the healthcare field, lung disease detection techniques based on deep learning (DL) are widely used. However, achieving high stability while maintaining privacy remains a challenge. To address this, this research employs Federated Learning (FL), e...
Humans Convolutional Neural Networks Neural Networks, Computer Lung Diseases Tomography, X-Ray Computed Federated Learning Deep Learning
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EEGConvNeXt: A novel convolutional neural network model for automated detection of Alzheimer's Disease and Frontotemporal Dementia using EEG signals.

Computer methods and programs in biomedicine Feb 8, 2025
BACKGROUND AND OBJECTIVE: Deep learning models have gained widespread adoption in healthcare for accurate diagnosis through the analysis of brain signals. Neurodegenerative disorders like Alzheimer's Disease (AD) and Frontotemporal Dementia (FD) are ...
Signal Processing, Computer-Assisted Alzheimer Disease Frontotemporal Dementia Deep Learning Convolutional Neural Networks Electroencephalography Humans Neural Networks, Computer Algorithms
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Exploring the impact of lenticels on the detection of soluble solids content in apples and pears using hyperspectral imaging and one-dimensional convolutional neural networks.

Food research international (Ottawa, Ont.) Feb 7, 2025
In this work, the effect of lenticels on the predictive performance of apple and pear soluble solids content (SSC) models developed based on hyperspectral imaging (HSI) at 380-1010 nm was investigated for the first time. Variations in the spectral pr...
Fruit Principal Component Analysis Hyperspectral Imaging Least-Squares Analysis Neural Networks, Computer Malus Calibration Discriminant Analysis Algorithms Pyrus Convolutional Neural Networks
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Developing a three-dimensional convolutional neural network for automated full-volume multi-tissue segmentation of the shoulder with comparisons to Goutallier classification and partial volume muscle quality analysis.

Journal of shoulder and elbow surgery Feb 5, 2025
BACKGROUND: Preoperative intramuscular fat (IMF) is a strong predictor of tendon failure after a rotator cuff repair. Due to the contemporary labor intensive and time-dependent manual segmentation required for quantitative assessment of IMF, clinical...
Reproducibility of Results Aged Male Neural Networks, Computer Retrospective Studies Female Magnetic Resonance Imaging Adipose Tissue Rotator Cuff Injuries Rotator Cuff Humans Middle Aged Convolutional Neural Networks Imaging, Three-Dimensional
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Multimodal convolutional neural networks for the prediction of acute kidney injury in the intensive care.

International journal of medical informatics Feb 4, 2025
Increased monitoring of health-related data for ICU patients holds great potential for the early prediction of medical outcomes. Research on whether the use of clinical notes and concepts from knowledge bases can improve the performance of prediction...
Critical Care Neural Networks, Computer Acute Kidney Injury Intensive Care Units Male Humans Convolutional Neural Networks Creatinine
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Computer-aided cholelithiasis diagnosis using explainable convolutional neural network.

Scientific reports Feb 4, 2025
Accurate and precise identification of cholelithiasis is essential for saving the lives of millions of people worldwide. Although several computer-aided cholelithiasis diagnosis approaches have been introduced in the literature, their use is limited ...
Ultrasonography Cholelithiasis Algorithms Diagnosis, Computer-Assisted Convolutional Neural Networks Humans Neural Networks, Computer
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Convolutional Neural Networks Assisted Peak Classification in Targeted LC-HRMS/MS for Equine Doping Control Screening Analyses.

Analytical chemistry Feb 3, 2025
Doping control screening analyses usually involve visual inspection of extracted ion chromatograms (EIC) by a trained analytical chemist, followed by further investigations if needed. This task is both highly repetitive and time-consuming, given the ...
Horses Doping in Sports Discriminant Analysis Chromatography, High Pressure Liquid Tandem Mass Spectrometry Neural Networks, Computer Animals Deep Learning Convolutional Neural Networks
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Schizophrenia recognition based on three-dimensional adaptive graph convolutional neural network.

Scientific reports Feb 3, 2025
Previous deep learning-based brain network research has made significant progress in understanding the pathophysiology of schizophrenia. However, it ignores the three-dimensional spatial characteristics of EEG signals and cannot dynamically learn the...
Humans Male Convolutional Neural Networks Models, Neurological Algorithms Female Adult Graph Neural Networks Electroencephalography Schizophrenia Nerve Net
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Optimization of sparse-view CT reconstruction based on convolutional neural network.

Medical physics Feb 2, 2025
BACKGROUND: Sparse-view CT shortens scan time and reduces radiation dose but results in severe streak artifacts due to insufficient sampling data. Deep learning methods can now suppress these artifacts and improve image quality in sparse-view CT reco...
Tomography, X-Ray Computed Deep Learning Convolutional Neural Networks Image Processing, Computer-Assisted Artifacts Humans Neural Networks, Computer
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