AIMC Journal:
Computer methods and programs in biomedicine

Showing 191 to 200 of 844 articles

Deep neural networks can differentiate thyroid pathologies on infrared hyperspectral images.

Computer methods and programs in biomedicine Feb 24, 2024
BACKGROUND AND OBJECTIVE: The thyroid is a gland responsible for producing important body hormones. Several pathologies can affect this gland, such as thyroiditis, hypothyroidism, and thyroid cancer. The visual histological analysis of thyroid specim...
Thyroid Neoplasms Diagnostic Imaging Humans Neural Networks, Computer Artificial Intelligence
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Performance of Fourier-based activation function in physics-informed neural networks for patient-specific cardiovascular flows.

Computer methods and programs in biomedicine Feb 22, 2024
BACKGROUND AND OBJECTIVES: Physics-informed neural networks (PINNs) can be used to inversely model complex physical systems by encoding the governing partial differential equations and training data into the neural network. However, neural networks a...
Humans Neural Networks, Computer Aorta Physics Constriction, Pathologic Diffusion
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Unraveling motor imagery brain patterns using explainable artificial intelligence based on Shapley values.

Computer methods and programs in biomedicine Jan 30, 2024
BACKGROUND AND OBJECTIVE: Motor imagery (MI) based brain-computer interfaces (BCIs) are widely used in rehabilitation due to the close relationship that exists between MI and motor execution (ME). However, the underlying brain mechanisms of MI remain...
Imagination Brain Brain-Computer Interfaces Humans Artificial Intelligence Movement Electroencephalography Algorithms
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Improving preliminary clinical diagnosis accuracy through knowledge filtering techniques in consultation dialogues.

Computer methods and programs in biomedicine Jan 30, 2024
BACKGROUND AND OBJECTIVE: Symptom descriptions by ordinary people are often inaccurate or vague when seeking medical advice, which often leads to inaccurate preliminary clinical diagnoses. To address this issue, we propose a deep learning model named...
Language United States Humans Knowledge Bases Referral and Consultation Natural Language Processing Benchmarking
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Understanding skin color bias in deep learning-based skin lesion segmentation.

Computer methods and programs in biomedicine Jan 24, 2024
BACKGROUND: The field of dermatological image analysis using deep neural networks includes the semantic segmentation of skin lesions, pivotal for lesion analysis, pathology inference, and diagnoses. While biases in neural network-based dermatoscopic ...
Humans Skin Diseases Skin Pigmentation Image Processing, Computer-Assisted Skin Dermoscopy Deep Learning
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A deep learning-based interactive medical image segmentation framework with sequential memory.

Computer methods and programs in biomedicine Jan 18, 2024
BACKGROUND AND OBJECTIVE: Image segmentation is an essential component in medical image analysis. The case of 3D images such as MRI is particularly challenging and time consuming. Interactive or semi-automatic methods are thus highly desirable. Howev...
Magnetic Resonance Imaging Liver Imaging, Three-Dimensional Image Processing, Computer-Assisted Female Deep Learning Humans Tomography, X-Ray Computed
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ChatGPT in healthcare: A taxonomy and systematic review.

Computer methods and programs in biomedicine Jan 15, 2024
The recent release of ChatGPT, a chat bot research project/product of natural language processing (NLP) by OpenAI, stirs up a sensation among both the general public and medical professionals, amassing a phenomenally large user base in a short time. ...
Delivery of Health Care Natural Language Processing Humans Artificial Intelligence
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End-to-end volumetric segmentation of white matter hyperintensities using deep learning.

Computer methods and programs in biomedicine Jan 10, 2024
BACKGROUND AND OBJECTIVES: Reliable detection of white matter hyperintensities (WMH) is crucial for studying the impact of diffuse white-matter pathology on brain health and monitoring changes in WMH load over time. However, manual annotation of 3D h...
Image Processing, Computer-Assisted Magnetic Resonance Imaging White Matter Brain Humans Deep Learning Algorithms
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A convolutional neural network-based method for the generation of super-resolution 3D models from clinical CT images.

Computer methods and programs in biomedicine Jan 6, 2024
BACKGROUND AND OBJECTIVE: The accurate evaluation of bone mechanical properties is essential for predicting fracture risk based on clinical computed tomography (CT) images. However, blurring and noise in clinical CT images can compromise the accuracy...
Neural Networks, Computer Tomography, X-Ray Computed Cancellous Bone Image Processing, Computer-Assisted Bone and Bones
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Identification of high-risk population of pneumoconiosis using deep learning segmentation of lung 3D images and radiomics texture analysis.

Computer methods and programs in biomedicine Jan 4, 2024
OBJECTION: The aim of this study is to develop an early-warning model for identifying high-risk populations of pneumoconiosis by combining lung 3D images and radiomics lung texture features.
Humans Pneumoconiosis Lung Retrospective Studies Deep Learning Radiomics
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