AIMC Journal:
Computer methods and programs in biomedicine

Showing 401 to 410 of 844 articles

EMPAIA App Interface: An open and vendor-neutral interface for AI applications in pathology.

Computer methods and programs in biomedicine Dec 21, 2021
BACKGROUND AND OBJECTIVE: Artificial intelligence (AI) apps hold great potential to make pathological diagnoses more accurate and time efficient. Widespread use of AI in pathology is hampered by interface incompatibilities between pathology software....
Artificial Intelligence Feedback Semantics Mobile Applications Communication
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Analysis of high-resolution reconstruction of medical images based on deep convolutional neural networks in lung cancer diagnostics.

Computer methods and programs in biomedicine Dec 20, 2021
BACKGROUND AND OBJECTIVE: To study the diagnostic effect of 64-slice spiral CT and MRI high-resolution images based on deep convolutional neural networks(CNN) in lung cancer.
Thorax Tomography, X-Ray Computed Lung Neoplasms Neural Networks, Computer Image Processing, Computer-Assisted Humans Retrospective Studies
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Determining the adjusted initial treatment dose of warfarin anticoagulant medicine using kernel-based support vector regression.

Computer methods and programs in biomedicine Dec 17, 2021
BACKGROUND AND OBJECTIVE: A novel research field in bioinformatics is pharmacogenomics and the corresponding applications of artificial intelligence tools. Pharmacogenomics is the study of the relationship between genotype and responses to medical me...
Warfarin Anticoagulants Algorithms Humans Pharmacogenetics Artificial Intelligence
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TypeSeg: A type-aware encoder-decoder network for multi-type ultrasound images co-segmentation.

Computer methods and programs in biomedicine Dec 17, 2021
PURPOSE: As a portable and radiation-free imaging modality, ultrasound can be easily used to image various types of tissue structures. It is important to develop a method which supports the multi-type ultrasound images co-segmentation. However, state...
Neural Networks, Computer Image Processing, Computer-Assisted Awareness Ultrasonography Algorithms
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TBNet: a context-aware graph network for tuberculosis diagnosis.

Computer methods and programs in biomedicine Dec 16, 2021
Tuberculosis (TB) is an infectious bacterial disease. It can affect the human lungs, brain, bones, and kidneys. Pulmonary tuberculosis is the most common. This airborne bacterium can be transmitted with the droplets by coughing and sneezing. So far, ...
Tuberculosis Thorax Diagnosis, Computer-Assisted Humans Tomography, X-Ray Computed Neural Networks, Computer
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A CNN-transformer hybrid approach for decoding visual neural activity into text.

Computer methods and programs in biomedicine Dec 14, 2021
BACKGROUND AND OBJECTIVE: Most studies used neural activities evoked by linguistic stimuli such as phrases or sentences to decode the language structure. However, compared to linguistic stimuli, it is more common for the human brain to perceive the o...
Neural Networks, Computer Humans Visual Perception Magnetic Resonance Imaging Brain Mapping Brain
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Machine learning for classification of postoperative patient status using standardized medical data.

Computer methods and programs in biomedicine Dec 12, 2021
BACKGROUND AND OBJECTIVE: Real-world evidence is defined as clinical evidence regarding the use and potential benefits or risks of a medical product derived from real-world data analyses. Standardization and structuring of data are necessary to analy...
Postoperative Period Hospitalization Machine Learning Humans Risk Factors Electronic Health Records
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Explanation of machine learning models using shapley additive explanation and application for real data in hospital.

Computer methods and programs in biomedicine Dec 10, 2021
BACKGROUND AND OBJECTIVE: When using machine learning techniques in decision-making processes, the interpretability of the models is important. In the present paper, we adopted the Shapley additive explanation (SHAP), which is based on fair profit al...
Cerebral Infarction Machine Learning Humans Hospitals
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Deep reconstruction-recoding network for unsupervised domain adaptation and multi-center generalization in colonoscopy polyp detection.

Computer methods and programs in biomedicine Dec 5, 2021
BACKGROUND AND OBJECTIVE: Currently, the best performing methods in colonoscopy polyp detection are primarily based on deep neural networks (DNNs), which are usually trained on large amounts of labeled data. However, different hospitals use different...
Polyps Humans Colonoscopy Neural Networks, Computer
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Abdominal computed tomography localizer image generation: A deep learning approach.

Computer methods and programs in biomedicine Dec 5, 2021
BACKGROUND AND OBJECTIVE: Computed Tomography (CT) has become an important clinical imaging modality, as well as the leading source of radiation dose from medical imaging procedures. Modern CT exams are usually led by two quick orthogonal localizatio...
Humans Tomography, X-Ray Computed Abdomen Radiation Dosage Image Processing, Computer-Assisted Deep Learning
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