Image Processing, Computer-Assisted
Showing 8851 to 8860 of 10288 articles
A Neurodynamic Optimization Method for Recovery of Compressive Sensed Signals With Globally Converged Solution Approximating to l0 Minimization.
IEEE transactions on neural networks and learning systems
Aug 7, 2014
Finding the optimal solution to the constrained l0 -norm minimization problems in the recovery of compressive sensed signals is an NP-hard problem and it usually requires intractable combinatorial searching operations for getting the global optimal s...
Identifying Neuroimaging Markers of Motor Disability in Acute Stroke by Machine Learning Techniques.
Cerebral cortex (New York, N.Y. : 1991)
May 16, 2014
Conventional mass-univariate analyses have been previously used to test for group differences in neural signals. However, machine learning algorithms represent a multivariate decoding approach that may help to identify neuroimaging patterns associate...
Biomedical image segmentation using geometric deformable models and metaheuristics.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jan 9, 2014
This paper describes a hybrid level set approach for medical image segmentation. This new geometric deformable model combines region- and edge-based information with the prior shape knowledge introduced using deformable registration. Our proposal con...
[Research progress of large language models in tumor diagnosis: applications in textual reports and medical imaging].
Nan fang yi ke da xue xue bao = Journal of Southern Medical University
Jan 20, 2026
Large language models (LLMs) are emerging artificial intelligence technologies with strong text and image processing capabilities, offering critical support for the intelligent transformation of healthcare and improving clinical efficiency and qualit...
[Diffusion cycle-consistent generative adversarial networks for pelvic active bone marrow segmentation].
Nan fang yi ke da xue xue bao = Journal of Southern Medical University
Jan 20, 2026
OBJECTIVES: To establish a pelvic active bone marrow (ABM) segmentation method based on diffusion cycle-consistent generative adversarial networks for improving individualized precision of conventional anatomical atlas-based methods. METHODS: We coll...
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Consensus-Based 3D View Generation from Noisy Images.
International journal of neural systems
Dec 30, 2025
The real-time synthesis of 3D views, facilitated by convolutional neural networks like NeX, is increasingly pivotal in various computer vision applications. These networks are trained using photographs taken from different perspectives during the tra...
[Review of application of U-Net and Transformer in colon polyp image segmentation].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Dec 25, 2025
Colorectal cancer typically originates from the malignant transformation of colonic polyps, making the automatic and accurate segmentation of colonic polyps crucial for clinical diagnosis. Deep learning techniques such as U-Net and Transformer can ef...
[Research progress on quantitative magnetic susceptibility imaging reconstruction method based on improved U-network model].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Dec 25, 2025
Quantitative magnetic susceptibility imaging (QSM) is an imaging method based on magnetic resonance imaging (MRI) phase signal processing and inversion to obtain tissue magnetic susceptibility distribution, which can generate images reflecting the ma...
[An unsupervised three-dimensional medical image registration method based on shifted window Transformer and convolutional neural network].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Dec 25, 2025
Three-dimensional (3D) deformable image registration plays a critical role in 3D medical image processing. This technique aligns images from different time points, modalities, or individuals in 3D space, enabling the comparison and fusion of anatomic...
[Image classification of osteoarthritis based on improved shifted windows transformer and graph convolutional networks].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Dec 25, 2025
Osteoarthritis is a common degenerative joint disease, which is often analyzed by X-ray images. However, if there is a lack of clinical experience when reading the films, it is easy to cause misdiagnosis. Although deep learning has made significant p...
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