AIMC Journal:
Computer methods and programs in biomedicine

Showing 171 to 180 of 844 articles

Autism spectrum disorder diagnosis with EEG signals using time series maps of brain functional connectivity and a combined CNN-LSTM model.

Computer methods and programs in biomedicine Apr 24, 2024
BACKGROUND AND OBJECTIVE: People with autism spectrum disorder (ASD) often have cognitive impairments. Effective connectivity between different areas of the brain is essential for normal cognition. Electroencephalography (EEG) has been widely used in...
Brain Mapping Neural Networks, Computer Electroencephalography Algorithms Autism Spectrum Disorder Signal Processing, Computer-Assisted Humans Male Brain Adolescent Child Female
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All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems.

Computer methods and programs in biomedicine Apr 23, 2024
BACKGROUND AND OBJECTIVES: Artificial intelligence (AI) models trained on multi-centric and multi-device studies can provide more robust insights and research findings compared to single-center studies. However, variability in acquisition protocols a...
Humans Artificial Intelligence Diagnostic Imaging Image Processing, Computer-Assisted Multicenter Studies as Topic
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Lesion attention guided neural network for contrast-enhanced mammography-based biomarker status prediction in breast cancer.

Computer methods and programs in biomedicine Apr 22, 2024
BACKGROUND AND OBJECTIVE: Accurate identification of molecular biomarker statuses is crucial in cancer diagnosis, treatment, and prognosis. Studies have demonstrated that medical images could be utilized for non-invasive prediction of biomarker statu...
Biomarkers, Tumor Neural Networks, Computer Mammography Image Processing, Computer-Assisted Humans Contrast Media Algorithms Female Breast Neoplasms
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RegWSI: Whole slide image registration using combined deep feature- and intensity-based methods: Winner of the ACROBAT 2023 challenge.

Computer methods and programs in biomedicine Apr 22, 2024
BACKGROUND AND OBJECTIVE: The automatic registration of differently stained whole slide images (WSIs) is crucial for improving diagnosis and prognosis by fusing complementary information emerging from different visible structures. It is also useful t...
Deep Learning Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Staining and Labeling Algorithms Female Breast Neoplasms Humans Software
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VENet: Variational energy network for gland segmentation of pathological images and early gastric cancer diagnosis of whole slide images.

Computer methods and programs in biomedicine Apr 21, 2024
BACKGROUND AND OBJECTIVE: Gland segmentation of pathological images is an essential but challenging step for adenocarcinoma diagnosis. Although deep learning methods have recently made tremendous progress in gland segmentation, they have not given sa...
Stomach Neoplasms Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Image Interpretation, Computer-Assisted Adenocarcinoma Early Detection of Cancer Humans
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Brain tumor detection using proper orthogonal decomposition integrated with deep learning networks.

Computer methods and programs in biomedicine Apr 15, 2024
BACKGROUND AND OBJECTIVE: The central organ of the human nervous system is the brain, which receives and sends stimuli to the various parts of the body to engage in daily activities. Uncontrolled growth of brain cells can result in tumors which affec...
Algorithms Image Processing, Computer-Assisted Humans Brain Neoplasms Magnetic Resonance Imaging Deep Learning Neural Networks, Computer
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HRU-Net: A high-resolution convolutional neural network for esophageal cancer radiotherapy target segmentation.

Computer methods and programs in biomedicine Apr 14, 2024
BACKGROUND AND OBJECTIVE: The effective segmentation of esophageal squamous carcinoma lesions in CT scans is significant for auxiliary diagnosis and treatment. However, accurate lesion segmentation is still a challenging task due to the irregular for...
Humans Neural Networks, Computer Imaging, Three-Dimensional Esophageal Squamous Cell Carcinoma Image Processing, Computer-Assisted Algorithms Esophageal Neoplasms Tomography, X-Ray Computed
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An adversarial learning approach to generate pressure support ventilation waveforms for asynchrony detection.

Computer methods and programs in biomedicine Apr 12, 2024
BACKGROUND AND OBJECTIVE: Mechanical ventilation is a life-saving treatment for critically-ill patients. During treatment, patient-ventilator asynchrony (PVA) can occur, which can lead to pulmonary damage, complications, and higher mortality. While t...
Respiration, Artificial Humans Algorithms Computer Simulation Machine Learning
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Predicting adverse long-term neurocognitive outcomes after pediatric intensive care unit admission.

Computer methods and programs in biomedicine Apr 10, 2024
BACKGROUND AND OBJECTIVE: Critically ill children may suffer from impaired neurocognitive functions years after ICU (intensive care unit) discharge. To assess neurocognitive functions, these children are subjected to a fixed sequence of tests. Underg...
Machine Learning Critical Illness Female Humans Intensive Care Units, Pediatric Follow-Up Studies Patient Discharge Child, Preschool Child Male
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MA-MIL: Sampling point-level abnormal ECG location method via weakly supervised learning.

Computer methods and programs in biomedicine Apr 9, 2024
BACKGROUND AND OBJECTIVE: Current automatic electrocardiogram (ECG) diagnostic systems could provide classification outcomes but often lack explanations for these results. This limitation hampers their application in clinical diagnoses. Previous supe...
Supervised Machine Learning Databases, Factual Electrocardiography Heart Rate Humans Signal Processing, Computer-Assisted Algorithms
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