AIMC Topic: Convolutional Neural Networks

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Convolutional neural network-assisted Raman spectroscopy for high-precision diagnosis of glioblastoma.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 17, 2024
Glioblastoma multiforme (GBM) is the most lethal intracranial tumor with a median survival of approximately 15 months. Due to its highly invasive properties, it is particularly difficult to accurately identify the tumor margins intraoperatively. The ...
Glioblastoma Convolutional Neural Networks Mice Spectrum Analysis, Raman Humans Neural Networks, Computer Brain Brain Neoplasms Animals
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Automated identification of Chagas disease vectors using AlexNet pre-trained convolutional neural networks.

Medical and veterinary entomology Dec 13, 2024
The 158 bug species that make up the subfamily Triatominae are the potential vectors of Trypanosoma cruzi, the etiological agent of Chagas disease. Despite recent progress in developing a picture-based automated system for identification of triatomin...
Triatominae Rhodnius Trypanosoma cruzi Chagas Disease Insect Vectors Animals Deep Learning Convolutional Neural Networks Neural Networks, Computer
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Performance of image processing analysis and a deep convolutional neural network for the classification of oral cancer in fluorescence visualization.

International journal of oral and maxillofacial surgery Dec 12, 2024
The aim of this prospective study was to determine the effectiveness of screening using image processing analysis and a deep convolutional neural network (DCNN) to classify oral cancers using non-invasive fluorescence visualization. The study include...
Sensitivity and Specificity Male Middle Aged Fluorescence Convolutional Neural Networks Image Processing, Computer-Assisted Female Aged Adult Humans Neural Networks, Computer Prospective Studies Mouth Neoplasms Optical Imaging
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Ensemble learning based on bi-directional gated recurrent unit and convolutional neural network with word embedding module for bioactive peptide prediction.

Food chemistry Dec 12, 2024
Bioactive peptides, as small protein fragments, are essential mediators of diverse physiological activities, such as antimicrobial, anti-inflammatory, anticancer, antioxidant, and immunomodulatory functions. Despite their substantial potential in pha...
Neural Networks, Computer Anti-Bacterial Agents Acinetobacter baumannii Peptides Convolutional Neural Networks Ensemble Learning Escherichia coli Antimicrobial Peptides
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Extraction of agricultural plastic greenhouses based on a U-Net convolutional neural network coupled with edge expansion and loss function improvement.

Journal of the Air & Waste Management Association (1995) Dec 12, 2024
Agricultural plastic greenhouses (APGs) are crucial for sustainable agricultural planting, and accurate spatial distribution information acquisition is crucial. Deep learning network models can extract target features from remote sensing images more ...
Neural Networks, Computer Remote Sensing Technology Plastics Satellite Imagery Convolutional Neural Networks Agriculture Environmental Monitoring
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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...
Convolutional Neural Networks Image Processing, Computer-Assisted Magnetic Resonance Imaging Diagnostic Imaging Bias Algorithms Databases, Factual Brain Humans
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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.
Male Deep Learning Convolutional Neural Networks Young Adult Adult Sensitivity and Specificity beta-Thalassemia Iron Overload Image Interpretation, Computer-Assisted Adolescent Child Magnetic Resonance Imaging Humans Neural Networks, Computer Retrospective Studies Female
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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...
Datasets as Topic Computational Biology Biomedical Research Natural Language Processing Convolutional Neural Networks Data Mining
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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...
Pelvis Image Interpretation, Computer-Assisted Thorax Multiparametric Magnetic Resonance Imaging Pilot Projects Abdomen Magnetic Resonance Imaging 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...
Internet of Things Computer Security Convolutional Neural Networks Image Processing, Computer-Assisted Diagnostic Imaging Humans Neural Networks, Computer
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