AIMC Topic: Image Processing, Computer-Assisted

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Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis.

IEEE transactions on cybernetics Mar 6, 2025
Neuroimaging analysis aims to reveal the information-processing mechanisms of the human brain in a noninvasive manner. In the past, graph neural networks (GNNs) have shown promise in capturing the non-Euclidean structure of brain networks. However, e...
Humans Neuroimaging Brain Spatio-Temporal Analysis Neural Networks, Computer Image Processing, Computer-Assisted Algorithms
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Automatic Segmentation of Bone Graft in Maxillary Sinus via Distance Constrained Network Guided by Prior Anatomical Knowledge.

IEEE journal of biomedical and health informatics Mar 6, 2025
Maxillary Sinus Lifting is a crucial surgical procedure for addressing insufficient alveolar bone mass andsevere resorption in dental implant therapy. To accurately analyze the geometry changesof the bone graft (BG) in the maxillary sinus (MS), it is...
Deep Learning Datasets as Topic Image Processing, Computer-Assisted Maxillary Sinus Postoperative Period Alveolar Ridge Augmentation Humans Maxilla Artifacts Preoperative Period
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LUCF-Net: Lightweight U-Shaped Cascade Fusion Network for Medical Image Segmentation.

IEEE journal of biomedical and health informatics Mar 6, 2025
The performance of modern U-shaped neural networks for medical image segmentation has been significantly enhanced by incorporating Transformer layers. Although Transformer architectures are powerful at extracting global information, its ability to ca...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Neural Networks, Computer Humans Algorithms Magnetic Resonance Imaging Databases, Factual
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CDAF-Net: A Contextual Contrast Detail Attention Feature Fusion Network for Low-Dose CT Denoising.

IEEE journal of biomedical and health informatics Mar 6, 2025
Low-dose computed tomography (LDCT) is a specialized CT scan with a lower radiation dose than normal-dose CT. However, the reduced radiation dose can introduce noise and artifacts, affecting diagnostic accuracy. To enhance the LDCT image quality, we ...
Radiation Dosage Signal-To-Noise Ratio Animals Swine Image Processing, Computer-Assisted Algorithms Tomography, X-Ray Computed Humans Neural Networks, Computer
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Dual-type deep learning-based image reconstruction for advanced denoising and super-resolution processing in head and neck T2-weighted imaging.

Japanese journal of radiology Mar 5, 2025
PURPOSE: To assess the utility of dual-type deep learning (DL)-based image reconstruction with DL-based image denoising and super-resolution processing by comparing images reconstructed with the conventional method in head and neck fat-suppressed (Fs...
Deep Learning Image Processing, Computer-Assisted Head and Neck Neoplasms Male Middle Aged Retrospective Studies Image Interpretation, Computer-Assisted Humans Female Neck Head Aged, 80 and over Magnetic Resonance Imaging Signal-To-Noise Ratio Adult Aged
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A unified approach to medical image segmentation by leveraging mixed supervision and self and transfer learning (MIST).

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 5, 2025
Medical image segmentation is important for quantitative disease diagnosis and treatment but relies on accurate pixel-wise labels, which are costly, time-consuming, and require domain expertise. This work introduces MIST (MIxed supervision, Self, and...
Humans Machine Learning Image Processing, Computer-Assisted Supervised Machine Learning Algorithms Tomography, X-Ray Computed
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Machine Learning-Based Computer Vision for Depth Camera-Based Physiotherapy Movement Assessment: A Systematic Review.

Sensors (Basel, Switzerland) Mar 5, 2025
Machine learning-based computer vision techniques using depth cameras have shown potential in physiotherapy movement assessment. However, a comprehensive understanding of their implementation, effectiveness, and limitations remains needed. Following ...
Movement Physical Therapy Modalities Algorithms Humans Image Processing, Computer-Assisted Machine Learning
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Rethinking model prototyping through the MedMNIST+ dataset collection.

Scientific reports Mar 5, 2025
The integration of deep learning based systems in clinical practice is often impeded by challenges rooted in limited and heterogeneous medical datasets. In addition, the field has increasingly prioritized marginal performance gains on a few, narrowly...
Image Processing, Computer-Assisted Datasets as Topic Databases, Factual Deep Learning Neural Networks, Computer Humans Algorithms
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Multi-task interaction learning for accurate segmentation and classification of breast tumors in ultrasound images.

Physics in medicine and biology Mar 5, 2025
In breast diagnostic imaging, the morphological variability of breast tumors and the inherent ambiguity of ultrasound images pose significant challenges. Moreover, multi-task computer-aided diagnosis systems in breast imaging may overlook inherent re...
Image Processing, Computer-Assisted Breast Neoplasms Ultrasonography Machine Learning Female Humans
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Fitness for Purpose of Text-to-Image Generative Artificial Intelligence Image Creation in Medical Imaging.

Journal of nuclear medicine technology Mar 5, 2025
The recent emergence of text-to-image generative artificial intelligence (AI) diffusion models such as DALL-E, Firefly, Stable Diffusion, and Midjourney has been touted with popular hype about the transformative potential in health care. This hype-dr...
Humans Artificial Intelligence Diagnostic Imaging Image Processing, Computer-Assisted Generative Artificial Intelligence
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