AIMC Journal:
Computer methods and programs in biomedicine

Showing 161 to 170 of 844 articles

Robustness of Deep Learning models in electrocardiogram noise detection and classification.

Computer methods and programs in biomedicine May 24, 2024
BACKGROUND AND OBJECTIVE: Automatic electrocardiogram (ECG) signal analysis for heart disease detection has gained significant attention due to busy lifestyles. However, ECG signals are susceptible to noise, which adversely affects the performance of...
Humans Neural Networks, Computer Deep Learning Electrocardiography Algorithms Signal Processing, Computer-Assisted Signal-To-Noise Ratio
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Masked hypergraph learning for weakly supervised histopathology whole slide image classification.

Computer methods and programs in biomedicine May 23, 2024
BACKGROUND AND OBJECTIVES: Graph neural network (GNN) has been extensively used in histopathology whole slide image (WSI) analysis due to the efficiency and flexibility in modelling relationships among entities. However, most existing GNN-based WSI a...
Supervised Machine Learning Humans Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Neural Networks, Computer Lung Neoplasms Algorithms
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Artificial intelligence model for tumoral clinical decision support systems.

Computer methods and programs in biomedicine May 23, 2024
BACKGROUND AND OBJECTIVE: Comparative diagnostic in brain tumor evaluation makes possible to use the available information of a medical center to compare similar cases when a new patient is evaluated. By leveraging Artificial Intelligence models, the...
Databases, Factual Brain Neoplasms Decision Support Systems, Clinical Humans Artificial Intelligence Algorithms
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BiU-net: A dual-branch structure based on two-stage fusion strategy for biomedical image segmentation.

Computer methods and programs in biomedicine May 18, 2024
BACKGROUND AND OBJECTIVE: Computer-based biomedical image segmentation plays a crucial role in planning of assisted diagnostics and therapy. However, due to the variable size and irregular shape of the segmentation target, it is still a challenge to ...
Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Humans
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Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images.

Computer methods and programs in biomedicine May 11, 2024
BACKGROUND AND OBJECTIVE: Cell segmentation in bright-field histological slides is a crucial topic in medical image analysis. Having access to accurate segmentation allows researchers to examine the relationship between cellular morphology and clinic...
Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Cytoplasm Cell Nucleus Reproducibility of Results Image Processing, Computer-Assisted Algorithms Carcinoma, Squamous Cell Humans Neural Networks, Computer
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EEG classification model for virtual reality motion sickness based on multi-scale CNN feature correlation.

Computer methods and programs in biomedicine May 7, 2024
BACKGROUND: Virtual reality motion sickness (VRMS) is a key issue hindering the development of virtual reality technology, and accurate detection of its occurrence is the first prerequisite for solving the issue.
Humans Female Adult Male Neural Networks, Computer Algorithms Motion Sickness Virtual Reality Electroencephalography
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ML3CNet: Non-local means-assisted automatic framework for lung cancer subtypes classification using histopathological images.

Computer methods and programs in biomedicine May 4, 2024
BACKGROUND AND OBJECTIVE: Lung cancer (LC) has a high fatality rate that continuously affects human lives all over the world. Early detection of LC prolongs human life and helps to prevent the disease. Histopathological inspection is a common method ...
Neural Networks, Computer Machine Learning Diagnosis, Computer-Assisted Lung Neoplasms Image Processing, Computer-Assisted Humans Algorithms
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Enhanced thyroid nodule segmentation through U-Net and VGG16 fusion with feature engineering: A comprehensive study.

Computer methods and programs in biomedicine May 3, 2024
BACKGROUND AND OBJECTIVE: The thyroid gland, a key component of the endocrine system, is pivotal in regulating bodily functions. Thermography, a non-invasive imaging technique utilizing infrared cameras, has emerged as a diagnostic tool for thyroid-r...
Neural Networks, Computer Artificial Intelligence Machine Learning Humans Thyroid Nodule Image Processing, Computer-Assisted Thermography Algorithms Thyroid Gland
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Application of artificial intelligence in pancreas endoscopic ultrasound imaging- A systematic review.

Computer methods and programs in biomedicine Apr 29, 2024
The pancreas is a vital organ in digestive system which has significant health implications. It is imperative to evaluate and identify malignant pancreatic lesions promptly in light of the high mortality rate linked to such malignancies. Endoscopic U...
Humans Machine Learning Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Deep Learning Pancreatic Neoplasms Artificial Intelligence Pancreatic Diseases Pancreas Endosonography
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Attentional decoder networks for chest X-ray image recognition on high-resolution features.

Computer methods and programs in biomedicine Apr 27, 2024
BACKGROUND AND OBJECTIVE: This paper introduces an encoder-decoder-based attentional decoder network to recognize small-size lesions in chest X-ray images. In the encoder-only network, small-size lesions disappear during the down-sampling steps or ar...
Radiography, Thoracic Algorithms Humans Neural Networks, Computer Image Processing, Computer-Assisted
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