AIMC Topic: Image Processing, Computer-Assisted

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Improving machine learning-based bitewing segmentation with synthetic data.

Journal of dentistry Mar 9, 2025
OBJECTIVES: Class imbalance in datasets is one of the challenges of machine learning (ML) in medical image analysis. We employed synthetic data to overcome class imbalance when segmenting bitewing radiographs as an exemplary task for using ML.
Humans Machine Learning Image Processing, Computer-Assisted Dental Implants
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Deep Radon Prior: A fully unsupervised framework for sparse-view CT reconstruction.

Computers in biology and medicine Mar 9, 2025
BACKGROUND: Sparse-view computed tomography (CT) substantially reduces radiation exposure but often introduces severe artifacts that compromise image fidelity. Recent advances in deep learning for solving inverse problems have shown considerable prom...
Tomography, X-Ray Computed Deep Learning Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Unsupervised Machine Learning Humans
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DGEDDGAN: A dual-domain generator and edge-enhanced dual discriminator generative adversarial network for MRI reconstruction.

Magnetic resonance imaging Mar 8, 2025
Magnetic resonance imaging (MRI) as a critical clinical tool in medical imaging, requires a long scan time for producing high-quality MRI images. To accelerate the speed of MRI while reconstructing high-quality images with sharper edges and fewer ali...
Generative Adversarial Networks Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Brain Humans Neural Networks, Computer
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Assessment of CNNs, transformers, and hybrid architectures in dental image segmentation.

Journal of dentistry Mar 8, 2025
OBJECTIVES: Convolutional Neural Networks (CNNs) have long dominated image analysis in dentistry, reaching remarkable results in a range of different tasks. However, Transformer-based architectures, originally proposed for Natural Language Processing...
Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Radiography, Panoramic Tooth Dental Caries
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Quantitative analysis of ureteral jets with dynamic magnetic resonance imaging and a deep-learning approach.

Magnetic resonance imaging Mar 7, 2025
OBJECTIVE: To develop dynamic MRU protocol that focuses on the bladder to capture ureteral jets and to automatically estimate frequency and duration of ureteral jets from the dynamic images.
Urinary Bladder Adult Ureter Magnetic Resonance Imaging Humans Female Deep Learning Male Healthy Volunteers Image Processing, Computer-Assisted
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FedBM: Stealing knowledge from pre-trained language models for heterogeneous federated learning.

Medical image analysis Mar 7, 2025
Federated learning (FL) has shown great potential in medical image computing since it provides a decentralized learning paradigm that allows multiple clients to train a model collaboratively without privacy leakage. However, current studies have show...
Image Processing, Computer-Assisted Federated Learning Machine Learning Algorithms
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Towards automatic US-MR fetal brain image registration with learning-based methods.

NeuroImage Mar 7, 2025
Fetal brain imaging is essential for prenatal care, with ultrasound (US) and magnetic resonance imaging (MRI) providing complementary strengths. While MRI has superior soft tissue contrast, US offers portable and inexpensive screening of neurological...
Magnetic Resonance Imaging Multimodal Imaging Prenatal Diagnosis Neuroimaging Ultrasonography, Prenatal Image Processing, Computer-Assisted Pregnancy Female Machine Learning Brain Humans
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Skin lesion segmentation with a multiscale input fusion U-Net incorporating Res2-SE and pyramid dilated convolution.

Scientific reports Mar 7, 2025
Skin lesion segmentation is crucial for identifying and diagnosing skin diseases. Accurate segmentation aids in identifying and localizing diseases, monitoring morphological changes, and extracting features for further diagnosis, especially in the ea...
Humans Neural Networks, Computer Algorithms Skin Diseases Image Processing, Computer-Assisted Skin Neoplasms Skin Dermoscopy
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Alzheimer's disease prediction using 3D-CNNs: Intelligent processing of neuroimaging data.

SLAS technology Mar 6, 2025
Alzheimer's disease (AD) is a severe neurological illness that demolishes memory and brain functioning. This disease affects an individual's capacity to work, think, and behave. The proportion of individuals suffering from AD is rapidly increasing. I...
Humans Magnetic Resonance Imaging Brain Imaging, Three-Dimensional Alzheimer Disease Neuroimaging Cognitive Dysfunction Neural Networks, Computer Image Processing, Computer-Assisted
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Image classification-driven speech disorder detection using deep learning technique.

SLAS technology Mar 6, 2025
Speech disorders affect an individual's ability to generate sounds or utilize the voice appropriately. Neurological, developmental, physical, and trauma may cause speech disorders. Speech impairments influence communication, social interaction, educa...
Deep Learning Image Processing, Computer-Assisted Speech Disorders Humans
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