AIMC Topic: Image Processing, Computer-Assisted

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AI in Breast Cancer Imaging: An Update and Future Trends.

Seminars in nuclear medicine Feb 25, 2025
Breast cancer is one of the most common types of cancer affecting women worldwide. Artificial intelligence (AI) is transforming breast cancer imaging by enhancing diagnostic capabilities across multiple imaging modalities including mammography, digit...
Breast Neoplasms Image Processing, Computer-Assisted Diagnostic Imaging Artificial Intelligence Female Humans
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CephTransX: An attention enhanced feature fusion network leveraging neighborhood rough set approach for cephalometric landmark prediction.

Computers in biology and medicine Feb 25, 2025
The convergence of medical imaging, computer vision, and orthodontics has made automatic cephalometric landmark detection a pivotal area of research. Accurate cephalometric analysis is crucial in orthodontics, orthognathic and maxillofacial surgery f...
Image Processing, Computer-Assisted Humans Anatomic Landmarks Cephalometry Neural Networks, Computer Algorithms
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Intelligent larval zebrafish phenotype recognition via attention mechanism for high-throughput screening.

Computers in biology and medicine Feb 25, 2025
BACKGROUND: Larval zebrafish phenotypes serve as critical research indicators in fields such as ecotoxicology and safety assessment since phenotypic defects are closely related to alterations of underlying pathway. However, identifying these defects ...
Zebrafish High-Throughput Screening Assays Deep Learning Larva Image Processing, Computer-Assisted Phenotype Animals
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MRI-Based Meningioma Firmness Classification Using an Adversarial Feature Learning Approach.

Sensors (Basel, Switzerland) Feb 25, 2025
The firmness of meningiomas is a critical factor that impacts the surgical approach recommended for patients. The conventional approaches that couple image processing techniques with radiologists' visual assessments of magnetic resonance imaging (MRI...
Machine Learning Meningioma Image Processing, Computer-Assisted Humans Meningeal Neoplasms Algorithms Magnetic Resonance Imaging Neural Networks, Computer Deep Learning
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Deep learning-based Intraoperative MRI reconstruction.

European radiology experimental Feb 25, 2025
BACKGROUND: We retrospectively evaluated the quality of deep learning (DL) reconstructions of on-scanner accelerated intraoperative MRI (iMRI) during respective brain tumor surgery.
Magnetic Resonance Imaging Intraoperative Period Deep Learning Image Processing, Computer-Assisted Female Aged Adult Brain Neoplasms Male Middle Aged Humans Retrospective Studies
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RAE-Net: a multi-modal neural network based on feature fusion and evidential deep learning algorithm in predicting breast cancer subtypes on DCE-MRI.

Biomedical physics & engineering express Feb 25, 2025
Accurate identification of molecular subtypes in breast cancer is critical for personalized treatment. This study introduces a novel neural network model, RAE-Net, based on Multimodal Feature Fusion (MFF) and the Evidential Deep Learning Algorithm (E...
Aged Adult Breast Neoplasms Female Reproducibility of Results Contrast Media Magnetic Resonance Imaging Dynamic Contrast Enhanced Magnetic Resonance Imaging Humans Middle Aged Neural Networks, Computer Deep Learning Algorithms Image Processing, Computer-Assisted
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Improving explanations for medical X-ray diagnosis combining variational autoencoders and adversarial machine learning.

Computers in biology and medicine Feb 24, 2025
Explainability in Medical Computer Vision is one of the most sensible implementations of Artificial Intelligence nowadays in healthcare. In this work, we propose a novel Deep Learning architecture for eXplainable Artificial Intelligence, specially de...
Humans Neural Networks, Computer Machine Learning Algorithms Autoencoder Deep Learning Image Processing, Computer-Assisted
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Super-resolution mapping of anisotropic tissue structure with diffusion MRI and deep learning.

Scientific reports Feb 24, 2025
Diffusion magnetic resonance imaging (diffusion MRI) is widely employed to probe the diffusive motion of water molecules within the tissue. Numerous diseases and processes affecting the central nervous system can be detected and monitored via diffusi...
Diffusion Magnetic Resonance Imaging Diffusion Tensor Imaging Anisotropy Algorithms Brain Deep Learning Image Processing, Computer-Assisted White Matter Connectome Humans
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Wide-field OCT volumetric segmentation using semi-supervised CNN and transformer integration.

Scientific reports Feb 24, 2025
Wide-field optical coherence tomography (OCT) imaging can enable monitoring of peripheral changes in the retina, beyond the conventional fields of view used in current clinical OCT imaging systems. However, wide-field scans can present significant ch...
Humans Neural Networks, Computer Tomography, Optical Coherence Retina Algorithms Deep Learning Image Processing, Computer-Assisted
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An enhanced denoising system for mammogram images using deep transformer model with fusion of local and global features.

Scientific reports Feb 24, 2025
Image denoising is a critical problem in low-level computer vision, where the aim is to reconstruct a clean, noise-free image from a noisy input, such as a mammogram image. In recent years, deep learning, particularly convolutional neural networks (C...
Humans Image Processing, Computer-Assisted Mammography Female Signal-To-Noise Ratio Breast Neoplasms Neural Networks, Computer Deep Learning Algorithms
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