AIMC Journal:
Computer methods and programs in biomedicine

Showing 391 to 400 of 844 articles

Transfer inhibitory potency prediction to binary classification: A model only needs a small training set.

Computer methods and programs in biomedicine Jan 17, 2022
One of the most laborious for drug discovery is to select compounds from a library for experimental evaluation. Hence, we propose a machine learning model only needs to be trained on a small dataset to predict the inhibition constant (Ki) and half ma...
Machine Learning Support Vector Machine Drug Discovery
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Semi-supervised learning for medical image classification using imbalanced training data.

Computer methods and programs in biomedicine Jan 14, 2022
BACKGROUND AND OBJECTIVE: Medical image classification is often challenging for two reasons: a lack of labelled examples due to expensive and time-consuming annotation protocols, and imbalanced class labels due to the relative scarcity of disease-pos...
Research Design Humans Entropy Supervised Machine Learning
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Bone suppression on pediatric chest radiographs via a deep learning-based cascade model.

Computer methods and programs in biomedicine Jan 10, 2022
BACKGROUND AND OBJECTIVE: Bone suppression images (BSIs) of chest radiographs (CXRs) have been proven to improve diagnosis of pulmonary diseases. To acquire BSIs, dual-energy subtraction (DES) or a deep-learning-based model trained with DES-based BSI...
Humans Adult Lung Diseases Tomography, X-Ray Computed Deep Learning Bone and Bones Child Radiography, Thoracic
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Coarse-to-fine airway segmentation using multi information fusion network and CNN-based region growing.

Computer methods and programs in biomedicine Jan 8, 2022
BACKGROUND AND OBJECTIVES: Automatic airway segmentation from chest computed tomography (CT) scans plays an important role in pulmonary disease diagnosis and computer-assisted therapy. However, low contrast at peripheral branches and complex tree-lik...
Image Processing, Computer-Assisted Thorax Lung Tomography, X-Ray Computed Neural Networks, Computer
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Robust asynchronous control of ERP-Based brain-Computer interfaces using deep learning.

Computer methods and programs in biomedicine Jan 7, 2022
BACKGROUND AND OBJECTIVE: Brain-computer interfaces (BCI) based on event-related potentials (ERP) are a promising technology for alternative and augmented communication in an assistive context. However, most approaches to date are synchronous, requir...
Neural Networks, Computer Algorithms Humans Brain-Computer Interfaces Electroencephalography Deep Learning Evoked Potentials
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Facial expression recognition based on deep learning.

Computer methods and programs in biomedicine Jan 6, 2022
BACKGROUND AND OBJECTIVE: Facial expression recognition technology will play an increasingly important role in our daily life. Autonomous driving, virtual reality and all kinds of robots integrated into our life depend on the development of facial ex...
Facial Recognition Facial Expression Algorithms Deep Learning Neural Networks, Computer Humans
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Random vector functional link with ε-insensitive Huber loss function for biomedical data classification.

Computer methods and programs in biomedicine Jan 6, 2022
BACKGROUND AND OBJECTIVE: Biomedical data classification has been a trending topic among researchers during the last decade. Biomedical datasets may contain several features noises. Hence, the conventional machine learning model cannot efficiently ha...
Algorithms Machine Learning Biometry Support Vector Machine
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ExAID: A multimodal explanation framework for computer-aided diagnosis of skin lesions.

Computer methods and programs in biomedicine Jan 5, 2022
BACKGROUND AND OBJECTIVES: One principal impediment in the successful deployment of Artificial Intelligence (AI) based Computer-Aided Diagnosis (CAD) systems in everyday clinical workflows is their lack of transparent decision-making. Although common...
Artificial Intelligence Algorithms Humans Diagnosis, Computer-Assisted Melanoma Computers
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Saliency map-guided hierarchical dense feature aggregation framework for breast lesion classification using ultrasound image.

Computer methods and programs in biomedicine Dec 31, 2021
Deep learning methods, especially convolutional neural networks, have advanced the breast lesion classification task using breast ultrasound (BUS) images. However, constructing a highly-accurate classification model still remains challenging due to c...
Ultrasonography, Mammary Female Neural Networks, Computer Research Design Ultrasonography Humans Cluster Analysis
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Using Machine Learning to Identify Intravenous Contrast Phases on Computed Tomography.

Computer methods and programs in biomedicine Dec 25, 2021
PURPOSE: The purpose of the present work is to demonstrate the application of machine learning (ML) techniques to automatically identify the presence and physiologic phase of intravenous (IV) contrast in Computed Tomography (CT) scans of the Chest, A...
Machine Learning Pelvis Algorithms Abdomen Tomography, X-Ray Computed
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